{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1fae06e9-1322-4a1b-9e5e-e5f4aaaa9eb9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import time\n",
    "# import itertools\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "# # from adjustText import adjust_text\n",
    "# from statannotations.Annotator import Annotator\n",
    "\n",
    "# # import warnings\n",
    "# from scipy.stats import chi2_contingency, fisher_exact, f_oneway, tukey_hsd, kruskal\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "702b29fe-4c4f-4d00-8d6c-a1a630093777",
   "metadata": {},
   "outputs": [],
   "source": [
    "# sns.set_style(\"whitegrid\", )\n",
    "sns.set(font_scale=1.25, style=\"whitegrid\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "575cabd4-a20c-455a-9521-6f1432ef0c5f",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import importlib\n",
    "sys.path.append('/mnt/d/GoTx_Folder/src')\n",
    "# from a2ihelper import call_reditools,\n",
    "# import a2ihelper\n",
    "# importlib.reload(a2i)\n",
    "import a2ihelper as a2i"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0419c49-33bc-4cc2-89f9-64a2226f414b",
   "metadata": {},
   "source": [
    "# a2iHelper demonstration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "23a507f6-f968-42af-92aa-5ce549cf90bc",
   "metadata": {},
   "source": [
    "## Get expression data from public study GSE145011"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "77d52965-0309-45fb-805c-2d6bce91f973",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_271095/3172618387.py:3: DtypeWarning: Columns (32) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  df_genes_demo_en_2 = pd.read_csv('/mnt/e/editing_methods/PRJNA605715_GSE145011/mmc4.txt', sep=' ')\n"
     ]
    }
   ],
   "source": [
    "df_genes_demo = pd.read_excel('/mnt/e/editing_methods/PRJNA605715_GSE145011/mmc3.xlsx', sheet_name='Table S3b', header=1)\n",
    "df_genes_demo_en = pd.read_excel('/mnt/e/editing_methods/PRJNA605715_GSE145011/mmc3.xlsx', sheet_name='Table S3a', header=1)\n",
    "df_genes_demo_en_2 = pd.read_csv('/mnt/e/editing_methods/PRJNA605715_GSE145011/mmc4.txt', sep=' ')\n",
    "\n",
    "df_genes_demo['count'] = df_genes_demo.gene.map(dict(dict(df_genes_demo_en.groupby('Gene').count().Region)))\n",
    "df_genes_demo['count2'] = df_genes_demo.gene.map(dict(df_genes_demo_en_2.groupby('SYMBOL').count().sort_values('R_P', ascending=False).R_P))\n",
    "df_genes_demo['count3'] = df_genes_demo['count'].fillna(df_genes_demo['count2'])\n",
    "df_genes_demo['count3'] = df_genes_demo['count3'].fillna(df_genes_demo['count'])\n",
    "df_genes_demo['-log10(fdr)'] = -np.log10(df_genes_demo['p.adj'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "18d4d203-39d4-405d-8330-4a307d4f6ea8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>.y.</th>\n",
       "      <th>group1</th>\n",
       "      <th>group2</th>\n",
       "      <th>p</th>\n",
       "      <th>p.adj</th>\n",
       "      <th>p.format</th>\n",
       "      <th>p.signif</th>\n",
       "      <th>method</th>\n",
       "      <th>count</th>\n",
       "      <th>count2</th>\n",
       "      <th>count3</th>\n",
       "      <th>-log10(fdr)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FAM129C</td>\n",
       "      <td>value</td>\n",
       "      <td>Ctrl</td>\n",
       "      <td>Cases</td>\n",
       "      <td>1.690000e+00</td>\n",
       "      <td>3.400000e-13</td>\n",
       "      <td>1.7e-14</td>\n",
       "      <td>****</td>\n",
       "      <td>Wilcoxon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>12.468521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CCAR1</td>\n",
       "      <td>value</td>\n",
       "      <td>Ctrl</td>\n",
       "      <td>Cases</td>\n",
       "      <td>4.540000e+05</td>\n",
       "      <td>2.500000e-07</td>\n",
       "      <td>4.5e-08</td>\n",
       "      <td>****</td>\n",
       "      <td>Wilcoxon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.602060</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>IKZF3</td>\n",
       "      <td>value</td>\n",
       "      <td>Ctrl</td>\n",
       "      <td>Cases</td>\n",
       "      <td>1.020000e+06</td>\n",
       "      <td>6.300000e-08</td>\n",
       "      <td>1.0e-08</td>\n",
       "      <td>****</td>\n",
       "      <td>Wilcoxon</td>\n",
       "      <td>34.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>7.200659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>NPLOC4</td>\n",
       "      <td>value</td>\n",
       "      <td>Ctrl</td>\n",
       "      <td>Cases</td>\n",
       "      <td>2.220000e-03</td>\n",
       "      <td>9.900000e-16</td>\n",
       "      <td>&lt; 2e-16</td>\n",
       "      <td>****</td>\n",
       "      <td>Wilcoxon</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>15.004365</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>MDM4</td>\n",
       "      <td>value</td>\n",
       "      <td>Ctrl</td>\n",
       "      <td>Cases</td>\n",
       "      <td>1.810000e+03</td>\n",
       "      <td>1.900000e-10</td>\n",
       "      <td>1.8e-11</td>\n",
       "      <td>****</td>\n",
       "      <td>Wilcoxon</td>\n",
       "      <td>38.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>9.721246</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      gene    .y. group1 group2             p         p.adj p.format p.signif  \\\n",
       "0  FAM129C  value   Ctrl  Cases  1.690000e+00  3.400000e-13  1.7e-14     ****   \n",
       "1    CCAR1  value   Ctrl  Cases  4.540000e+05  2.500000e-07  4.5e-08     ****   \n",
       "2    IKZF3  value   Ctrl  Cases  1.020000e+06  6.300000e-08  1.0e-08     ****   \n",
       "3   NPLOC4  value   Ctrl  Cases  2.220000e-03  9.900000e-16  < 2e-16     ****   \n",
       "4     MDM4  value   Ctrl  Cases  1.810000e+03  1.900000e-10  1.8e-11     ****   \n",
       "\n",
       "     method  count  count2  count3  -log10(fdr)  \n",
       "0  Wilcoxon    NaN     NaN     NaN    12.468521  \n",
       "1  Wilcoxon    NaN     7.0     7.0     6.602060  \n",
       "2  Wilcoxon   34.0    16.0    34.0     7.200659  \n",
       "3  Wilcoxon    NaN     4.0     4.0    15.004365  \n",
       "4  Wilcoxon   38.0     2.0    38.0     9.721246  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_genes_demo.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5db023de-de4f-4277-96b9-25d327b2d8c5",
   "metadata": {},
   "source": [
    "## Get the 100th most relevant genes in the public dataset as an example and the annotation to get coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7b36bded-c15f-48c8-ad2b-02fabbd496ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "gene_list = df_genes_demo.sort_values(['count2','-log10(fdr)'], ascending=False).head(100).gene.tolist()+['ADAR','UBR4','WDR12','APOL1']\n",
    "path_ref_annotation='/mnt/e/editing_methods/PRJNA605715_GSE145011/gencode.v44.basic.annotation.gtf'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "4defccf9-cd08-42aa-9e82-4cef2c9f9e24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "104"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(gene_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48ba4055-0832-469e-aa67-26254e5c1404",
   "metadata": {},
   "source": [
    "## Get coordinates with get_genes_positions function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "fac0b618-dc68-435c-a178-4ede414732c5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:20.35746955871582\n"
     ]
    }
   ],
   "source": [
    "t1 = time.time()\n",
    "gene_coord = a2i.call_reditools2.get_genes_positions(gene_list, path_ref_annotation, gzip_file=False)\n",
    "t2 = time.time()\n",
    "print(int((t2-t1)//60), (t2-t1)%60, sep=':')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "56750f4e-c5c1-430e-bd94-18a1701a6959",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'MRPL20': 'chr1:1401909-1407293', 'ATAD3B': 'chr1:1471765-1497848'} ... {'GNL3L': 'chrX:54530183-54621521', 'MAGT1': 'chrX:77825747-77899271'}\n"
     ]
    }
   ],
   "source": [
    "print(dict(list(gene_coord.items())[:2]), '...', dict(list(gene_coord.items())[-2:]))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5804cf3a-d23e-4788-a965-ee2e5fcb947f",
   "metadata": {},
   "source": [
    "## Call reditools2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d06a19a8-57ff-4e8a-a6f0-473555c4d0de",
   "metadata": {},
   "source": [
    "### Call samtools index\n",
    "Before calling reditools2, having the index file for each bam file is mandatory. It can be done with the bash script below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "39d2db9a-c16c-4a09-8cd3-77521080c9ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "# %bash\n",
    "# #!/bin/bash\n",
    "\n",
    "# pathIn=\"/mnt/d/rna_editing/\" #path with the bams files\n",
    "\n",
    "# arr=(${pathIn}*ready.bam)\n",
    "# for filename in ${arr[@]##*/}; do\n",
    "#     echo ${filename}\n",
    "#     time samtools index ${pathIn}${filename}\n",
    "# done\n",
    "# echo \"BAI files DONE!\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a57f07bf-2a87-4f11-940c-1d972474457c",
   "metadata": {},
   "source": [
    "### Preparing the arguments for the run_per_gene_position_list function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5ddf2e4e-55ef-49b1-a145-3b21784fe8d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "genes_positions = gene_coord.values()\n",
    "in_bam_file_list = ['/mnt/e/editing_methods/PRJNA605715_GSE145011/star_1pass/'+f for f in os.listdir('/mnt/e/editing_methods/PRJNA605715_GSE145011/star_1pass/') if f.endswith('bam')]\n",
    "path_out_res = '/mnt/e/editing_methods/PRJNA605715_GSE145011/RES/'\n",
    "ref_genome_file = '/mnt/e/reference_files/GRCh38.p14.genome.fa'\n",
    "path_reditools = '/mnt/d/reditools2.0/src/cineca/'\n",
    "reditools_options = ''\n",
    "# reditools_options = '--strict' use strict in case only editing sites are in the output\n",
    "n_jobs = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dcc7fd51-031b-4406-96ee-17cd0de9f523",
   "metadata": {},
   "outputs": [],
   "source": [
    "# t1 = time.time()\n",
    "# for in_bam_file in in_bam_file_list:\n",
    "#     a2i.call_reditools2.run_per_gene_position_list(genes_positions, in_bam_file, path_out_res, ref_genome_file, path_reditools, reditools_options=reditools_options, n_jobs=n_jobs)\n",
    "#     print('#',end=' ')\n",
    "# t2 = time.time()\n",
    "# print(int((t2-t1)//60), (t2-t1)%60, sep=':')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86c2b4ec-c43f-41d8-a822-cf9a2e4e9d6b",
   "metadata": {},
   "source": [
    "### Preparing the metadata files to integrate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f32ee826-5c06-46b0-b736-d7ed194d4842",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:0.024840831756591797\n"
     ]
    }
   ],
   "source": [
    "import gzip\n",
    "\n",
    "t1 = time.time()\n",
    "meta_names = ['!Sample_title','!Sample_geo_accession', '!Sample_source_name_ch1', '!Sample_source_name_ch2','!Sample_characteristics_ch1']\n",
    "gse_meta = open('/mnt/e/editing_methods/PRJNA605715_GSE145011/'+'PRJNA605715_GSE145011_meta.tsv', 'w')\n",
    "\n",
    "with gzip.open('/mnt/e/editing_methods/PRJNA605715_GSE145011/'+'GSE145011_series_matrix.txt.gz') as gse:\n",
    "    expr_flag = False\n",
    "    for line in gse:\n",
    "        if line.decode().split('\\t')[0] in meta_names:            \n",
    "            gse_meta.write(line.decode())\n",
    "gse_meta.close()\n",
    "t2 = time.time()\n",
    "print(int((t2-t1)//60), (t2-t1)%60, sep=':')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8150d53d-f16a-4337-acb8-bba29fe2db23",
   "metadata": {},
   "outputs": [],
   "source": [
    "meta_1 = pd.read_csv('/mnt/e/editing_methods/PRJNA605715_GSE145011/PRJNA605715_GSE145011_meta.tsv', sep='\\t', index_col=0).T.reset_index()#.set_index('!Sample_geo_accession')\n",
    "meta_1[['cell_line','condition']] = meta_1['index'].str.split('_', expand=True)\n",
    "# meta_1 = meta_1.drop(['index'], axis=1)\n",
    "meta_1.columns = ['cell_line_condition','geo_acc','1','genotype','tissue','4','cell_line', 'condition']\n",
    "meta_1 = meta_1.drop(['1', '4'], axis=1)\n",
    "meta_1['genotype'] = meta_1['genotype'].str.replace('genotype: ','')\n",
    "meta_1['tissue'] = meta_1['tissue'].str.replace('tissue: ','')\n",
    "\n",
    "meta_2 = pd.read_csv('/mnt/e/editing_methods/PRJNA605715_GSE145011/SraRunTable.txt')[['Run','Sample Name']]\n",
    "meta_2.columns = ['Run','geo_acc']\n",
    "\n",
    "meta_1 = meta_1.merge(meta_2, on='geo_acc')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "474740b2-e69a-4a03-bc49-87170c9a4ce0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cell_line_condition</th>\n",
       "      <th>geo_acc</th>\n",
       "      <th>genotype</th>\n",
       "      <th>tissue</th>\n",
       "      <th>cell_line</th>\n",
       "      <th>condition</th>\n",
       "      <th>Run</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>GSM4304246</td>\n",
       "      <td>wild type</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>WT1</td>\n",
       "      <td>SRR11050913</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>A549_WT2</td>\n",
       "      <td>GSM4304247</td>\n",
       "      <td>wild type</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>WT2</td>\n",
       "      <td>SRR11050914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>A549_WT3</td>\n",
       "      <td>GSM4304248</td>\n",
       "      <td>wild type</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>WT3</td>\n",
       "      <td>SRR11050915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>A549_KO1</td>\n",
       "      <td>GSM4304249</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>KO1</td>\n",
       "      <td>SRR11050916</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>A549_KO2</td>\n",
       "      <td>GSM4304250</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>KO2</td>\n",
       "      <td>SRR11050917</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>A549_KO3</td>\n",
       "      <td>GSM4304251</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>Lung carcinoma</td>\n",
       "      <td>A549</td>\n",
       "      <td>KO3</td>\n",
       "      <td>SRR11050918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>RC-K8_WT1</td>\n",
       "      <td>GSM4304252</td>\n",
       "      <td>wild type</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>WT1</td>\n",
       "      <td>SRR11050919</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>RC-K8_WT2</td>\n",
       "      <td>GSM4304253</td>\n",
       "      <td>wild type</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>WT2</td>\n",
       "      <td>SRR11050920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>RC-K8_WT3</td>\n",
       "      <td>GSM4304254</td>\n",
       "      <td>wild type</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>WT3</td>\n",
       "      <td>SRR11050921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>RC-K8_KO1</td>\n",
       "      <td>GSM4304255</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>KO1</td>\n",
       "      <td>SRR11050922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>RC-K8_KO2</td>\n",
       "      <td>GSM4304256</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>KO2</td>\n",
       "      <td>SRR11050923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>GSM4304257</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>B-cell lymphoma</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>KO3</td>\n",
       "      <td>SRR11050924</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   cell_line_condition     geo_acc   genotype           tissue cell_line  \\\n",
       "0             A549_WT1  GSM4304246  wild type   Lung carcinoma      A549   \n",
       "1             A549_WT2  GSM4304247  wild type   Lung carcinoma      A549   \n",
       "2             A549_WT3  GSM4304248  wild type   Lung carcinoma      A549   \n",
       "3             A549_KO1  GSM4304249   ADAR1-/-   Lung carcinoma      A549   \n",
       "4             A549_KO2  GSM4304250   ADAR1-/-   Lung carcinoma      A549   \n",
       "5             A549_KO3  GSM4304251   ADAR1-/-   Lung carcinoma      A549   \n",
       "6            RC-K8_WT1  GSM4304252  wild type  B-cell lymphoma     RC-K8   \n",
       "7            RC-K8_WT2  GSM4304253  wild type  B-cell lymphoma     RC-K8   \n",
       "8            RC-K8_WT3  GSM4304254  wild type  B-cell lymphoma     RC-K8   \n",
       "9            RC-K8_KO1  GSM4304255   ADAR1-/-  B-cell lymphoma     RC-K8   \n",
       "10           RC-K8_KO2  GSM4304256   ADAR1-/-  B-cell lymphoma     RC-K8   \n",
       "11           RC-K8_KO3  GSM4304257   ADAR1-/-  B-cell lymphoma     RC-K8   \n",
       "\n",
       "   condition          Run  \n",
       "0        WT1  SRR11050913  \n",
       "1        WT2  SRR11050914  \n",
       "2        WT3  SRR11050915  \n",
       "3        KO1  SRR11050916  \n",
       "4        KO2  SRR11050917  \n",
       "5        KO3  SRR11050918  \n",
       "6        WT1  SRR11050919  \n",
       "7        WT2  SRR11050920  \n",
       "8        WT3  SRR11050921  \n",
       "9        KO1  SRR11050922  \n",
       "10       KO2  SRR11050923  \n",
       "11       KO3  SRR11050924  "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta_1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7c66e6d-4a3c-4e35-ad89-a2db63567b14",
   "metadata": {},
   "source": [
    "### Integrating the file name, coordinates, and SRA code to the metadata.\n",
    "The metadata must contain the follow information in the same order:\n",
    "\n",
    "- First column: Full path file names of REDItools2 results tables\n",
    "- Second column: Samples names\n",
    "- Third column: region (gene symbol)\n",
    "- Fourth column: conditions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a3819908-464b-47e1-9b76-cb0674d514e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>file_name</th>\n",
       "      <th>Run</th>\n",
       "      <th>region</th>\n",
       "      <th>genotype</th>\n",
       "      <th>cell_line_condition</th>\n",
       "      <th>condition</th>\n",
       "      <th>cell_line</th>\n",
       "      <th>coord</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050913</td>\n",
       "      <td>WDFY4</td>\n",
       "      <td>wild type</td>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>WT1</td>\n",
       "      <td>A549</td>\n",
       "      <td>chr10:48684873-48982956</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050913</td>\n",
       "      <td>C11orf58</td>\n",
       "      <td>wild type</td>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>WT1</td>\n",
       "      <td>A549</td>\n",
       "      <td>chr11:16613132-16758340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050913</td>\n",
       "      <td>EP400</td>\n",
       "      <td>wild type</td>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>WT1</td>\n",
       "      <td>A549</td>\n",
       "      <td>chr12:131949942-132080460</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050913</td>\n",
       "      <td>POLE</td>\n",
       "      <td>wild type</td>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>WT1</td>\n",
       "      <td>A549</td>\n",
       "      <td>chr12:132623753-132687376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050913</td>\n",
       "      <td>GOLGA3</td>\n",
       "      <td>wild type</td>\n",
       "      <td>A549_WT1</td>\n",
       "      <td>WT1</td>\n",
       "      <td>A549</td>\n",
       "      <td>chr12:132768902-132829143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050924</td>\n",
       "      <td>SYAP1</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>KO3</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>chrX:16719612-16765340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050924</td>\n",
       "      <td>SLC9A7</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>KO3</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>chrX:46599251-46759118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1245</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050924</td>\n",
       "      <td>RBM3</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>KO3</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>chrX:48574449-48581162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1246</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050924</td>\n",
       "      <td>GNL3L</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>KO3</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>chrX:54530183-54621521</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>/mnt/e/editing_methods/PRJNA605715_GSE145011/R...</td>\n",
       "      <td>SRR11050924</td>\n",
       "      <td>MAGT1</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "      <td>RC-K8_KO3</td>\n",
       "      <td>KO3</td>\n",
       "      <td>RC-K8</td>\n",
       "      <td>chrX:77825747-77899271</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1248 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              file_name          Run  \\\n",
       "0     /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050913   \n",
       "1     /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050913   \n",
       "2     /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050913   \n",
       "3     /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050913   \n",
       "4     /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050913   \n",
       "...                                                 ...          ...   \n",
       "1243  /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050924   \n",
       "1244  /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050924   \n",
       "1245  /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050924   \n",
       "1246  /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050924   \n",
       "1247  /mnt/e/editing_methods/PRJNA605715_GSE145011/R...  SRR11050924   \n",
       "\n",
       "        region   genotype cell_line_condition condition cell_line  \\\n",
       "0        WDFY4  wild type            A549_WT1       WT1      A549   \n",
       "1     C11orf58  wild type            A549_WT1       WT1      A549   \n",
       "2        EP400  wild type            A549_WT1       WT1      A549   \n",
       "3         POLE  wild type            A549_WT1       WT1      A549   \n",
       "4       GOLGA3  wild type            A549_WT1       WT1      A549   \n",
       "...        ...        ...                 ...       ...       ...   \n",
       "1243     SYAP1   ADAR1-/-           RC-K8_KO3       KO3     RC-K8   \n",
       "1244    SLC9A7   ADAR1-/-           RC-K8_KO3       KO3     RC-K8   \n",
       "1245      RBM3   ADAR1-/-           RC-K8_KO3       KO3     RC-K8   \n",
       "1246     GNL3L   ADAR1-/-           RC-K8_KO3       KO3     RC-K8   \n",
       "1247     MAGT1   ADAR1-/-           RC-K8_KO3       KO3     RC-K8   \n",
       "\n",
       "                          coord  \n",
       "0       chr10:48684873-48982956  \n",
       "1       chr11:16613132-16758340  \n",
       "2     chr12:131949942-132080460  \n",
       "3     chr12:132623753-132687376  \n",
       "4     chr12:132768902-132829143  \n",
       "...                         ...  \n",
       "1243     chrX:16719612-16765340  \n",
       "1244     chrX:46599251-46759118  \n",
       "1245     chrX:48574449-48581162  \n",
       "1246     chrX:54530183-54621521  \n",
       "1247     chrX:77825747-77899271  \n",
       "\n",
       "[1248 rows x 8 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "meta = pd.DataFrame(os.listdir(path_out_res))\n",
    "meta.columns = ['file_name']\n",
    "meta[['Run','coord']] = meta.file_name.str.split('_Aligned.sortedByCoord.out.bam_', n=1, expand=True)\n",
    "meta['coord'] = meta.coord.str.replace('_RES.tsv','')\n",
    "meta['coord'] = meta.coord.str.replace('_',':', n=1)\n",
    "meta['coord'] = meta.coord.str.replace('_','-')\n",
    "meta['region'] = meta['coord'].map({value:key for key,value in gene_coord.items()})\n",
    "meta['file_name'] = path_out_res+meta.file_name\n",
    "\n",
    "meta = meta.merge(meta_1, on='Run')\n",
    "\n",
    "meta = meta[['file_name', 'Run', 'region', 'genotype', 'cell_line_condition', 'condition','cell_line',  'coord']]\n",
    "meta"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef484d70-a508-4075-a187-76ac3682c218",
   "metadata": {},
   "source": [
    "### Merging all editing files to perform analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "68154007-c243-4152-980c-bf05b3bd2985",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0:0.024840831756591797\n"
     ]
    }
   ],
   "source": [
    "time1 = time.time()\n",
    "df, df_a, df_g, region_list = a2i.editing.merge_files_all_regions(meta)#[meta.cell_line=='RC-K8'])\n",
    "time2 = time.time() - time1\n",
    "print(int((t2-t1)//60), (t2-t1)%60, sep=':')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "314d02d1-e8b0-4129-b30b-82ad2ab55e01",
   "metadata": {},
   "source": [
    "### Applying filter by nan values, zeros and 100% of editing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eb6263a5-013b-4c82-a968-3f6c2c5be60e",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = a2i.editing.filter_positions(df, nan_filter=True, nan_filter_limit=4, zero_filter=False, hundred_filter=False,  per_condition=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "255dbca5-ce55-4a79-92ee-4d11ac5d0779",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>11_16744616</th>\n",
       "      <th>11_16744620</th>\n",
       "      <th>11_16744631</th>\n",
       "      <th>11_16744632</th>\n",
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       "      <th>11_16748149</th>\n",
       "      <th>11_16752815</th>\n",
       "      <th>...</th>\n",
       "      <th>X_77828545</th>\n",
       "      <th>X_77828723</th>\n",
       "      <th>X_77828981</th>\n",
       "      <th>X_77856805</th>\n",
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       "      <th>X_77875460</th>\n",
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       "      <th>X_77828141</th>\n",
       "      <th>region</th>\n",
       "      <th>genotype</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>SRR11050913</th>\n",
       "      <td>0.142399</td>\n",
       "      <td>0.037147</td>\n",
       "      <td>0.032841</td>\n",
       "      <td>0.064267</td>\n",
       "      <td>0.379507</td>\n",
       "      <td>0.237741</td>\n",
       "      <td>0.157580</td>\n",
       "      <td>0.056867</td>\n",
       "      <td>0.080150</td>\n",
       "      <td>0.105152</td>\n",
       "      <td>...</td>\n",
       "      <td>0.767263</td>\n",
       "      <td>0.815661</td>\n",
       "      <td>0.534759</td>\n",
       "      <td>0.760456</td>\n",
       "      <td>0.168067</td>\n",
       "      <td>0.564972</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050914</th>\n",
       "      <td>0.175850</td>\n",
       "      <td>0.030950</td>\n",
       "      <td>0.027902</td>\n",
       "      <td>0.054585</td>\n",
       "      <td>0.207523</td>\n",
       "      <td>0.240038</td>\n",
       "      <td>0.228542</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.138281</td>\n",
       "      <td>...</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.628931</td>\n",
       "      <td>1.890034</td>\n",
       "      <td>0.270636</td>\n",
       "      <td>0.486027</td>\n",
       "      <td>0.414938</td>\n",
       "      <td>0.896057</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050915</th>\n",
       "      <td>0.033311</td>\n",
       "      <td>0.104493</td>\n",
       "      <td>0.062696</td>\n",
       "      <td>0.030960</td>\n",
       "      <td>0.352338</td>\n",
       "      <td>0.271493</td>\n",
       "      <td>0.324254</td>\n",
       "      <td>0.029011</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.028090</td>\n",
       "      <td>...</td>\n",
       "      <td>0.210970</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.465116</td>\n",
       "      <td>1.214575</td>\n",
       "      <td>0.949367</td>\n",
       "      <td>0.154321</td>\n",
       "      <td>0.599700</td>\n",
       "      <td>0.218341</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050916</th>\n",
       "      <td>0.058309</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.053576</td>\n",
       "      <td>0.052673</td>\n",
       "      <td>0.425000</td>\n",
       "      <td>0.140056</td>\n",
       "      <td>0.098256</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.171380</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.548246</td>\n",
       "      <td>0.208333</td>\n",
       "      <td>1.144492</td>\n",
       "      <td>0.352526</td>\n",
       "      <td>0.110254</td>\n",
       "      <td>0.527426</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050917</th>\n",
       "      <td>0.087642</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.405922</td>\n",
       "      <td>0.313269</td>\n",
       "      <td>0.256949</td>\n",
       "      <td>0.041580</td>\n",
       "      <td>0.020149</td>\n",
       "      <td>0.121065</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.232019</td>\n",
       "      <td>1.399491</td>\n",
       "      <td>0.274348</td>\n",
       "      <td>0.722892</td>\n",
       "      <td>0.225225</td>\n",
       "      <td>0.092678</td>\n",
       "      <td>0.339559</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050918</th>\n",
       "      <td>0.061920</td>\n",
       "      <td>0.032175</td>\n",
       "      <td>0.028114</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.501379</td>\n",
       "      <td>0.162262</td>\n",
       "      <td>0.247341</td>\n",
       "      <td>0.066372</td>\n",
       "      <td>0.021286</td>\n",
       "      <td>0.170648</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.623053</td>\n",
       "      <td>0.923788</td>\n",
       "      <td>0.928382</td>\n",
       "      <td>0.814901</td>\n",
       "      <td>0.222717</td>\n",
       "      <td>0.214133</td>\n",
       "      <td>0.182815</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050919</th>\n",
       "      <td>0.127470</td>\n",
       "      <td>0.048457</td>\n",
       "      <td>0.104337</td>\n",
       "      <td>0.058858</td>\n",
       "      <td>0.284136</td>\n",
       "      <td>0.154655</td>\n",
       "      <td>0.016611</td>\n",
       "      <td>0.030148</td>\n",
       "      <td>0.014529</td>\n",
       "      <td>0.107444</td>\n",
       "      <td>...</td>\n",
       "      <td>11.111111</td>\n",
       "      <td>0.796813</td>\n",
       "      <td>1.388889</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.166667</td>\n",
       "      <td>0.492611</td>\n",
       "      <td>NaN</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050920</th>\n",
       "      <td>0.085161</td>\n",
       "      <td>0.022134</td>\n",
       "      <td>0.102145</td>\n",
       "      <td>0.060289</td>\n",
       "      <td>0.193966</td>\n",
       "      <td>0.041434</td>\n",
       "      <td>0.088909</td>\n",
       "      <td>0.039308</td>\n",
       "      <td>0.037230</td>\n",
       "      <td>0.128488</td>\n",
       "      <td>...</td>\n",
       "      <td>12.857143</td>\n",
       "      <td>0.440529</td>\n",
       "      <td>2.083333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.446429</td>\n",
       "      <td>0.202429</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050921</th>\n",
       "      <td>0.045086</td>\n",
       "      <td>0.069573</td>\n",
       "      <td>0.064921</td>\n",
       "      <td>0.042735</td>\n",
       "      <td>0.046555</td>\n",
       "      <td>0.133067</td>\n",
       "      <td>0.023557</td>\n",
       "      <td>0.043169</td>\n",
       "      <td>0.020231</td>\n",
       "      <td>0.121729</td>\n",
       "      <td>...</td>\n",
       "      <td>13.106796</td>\n",
       "      <td>0.450450</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.257069</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.315789</td>\n",
       "      <td>NaN</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050922</th>\n",
       "      <td>0.053807</td>\n",
       "      <td>0.111235</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.078616</td>\n",
       "      <td>0.320793</td>\n",
       "      <td>0.084986</td>\n",
       "      <td>0.149076</td>\n",
       "      <td>0.080150</td>\n",
       "      <td>0.025132</td>\n",
       "      <td>0.073892</td>\n",
       "      <td>...</td>\n",
       "      <td>0.403226</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.526316</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.401606</td>\n",
       "      <td>NaN</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050923</th>\n",
       "      <td>0.077963</td>\n",
       "      <td>0.026532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.074276</td>\n",
       "      <td>0.160944</td>\n",
       "      <td>0.106270</td>\n",
       "      <td>0.028233</td>\n",
       "      <td>0.128337</td>\n",
       "      <td>0.023132</td>\n",
       "      <td>0.046653</td>\n",
       "      <td>...</td>\n",
       "      <td>0.476190</td>\n",
       "      <td>1.463415</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.327869</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.843882</td>\n",
       "      <td>0.390625</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SRR11050924</th>\n",
       "      <td>0.133049</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.102775</td>\n",
       "      <td>0.074720</td>\n",
       "      <td>0.078802</td>\n",
       "      <td>0.101240</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.023143</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.123596</td>\n",
       "      <td>0.373134</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>12 rows × 3779 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             11_16744616  11_16744620  11_16744631  11_16744632  11_16744675  \\\n",
       "SRR11050913     0.142399     0.037147     0.032841     0.064267     0.379507   \n",
       "SRR11050914     0.175850     0.030950     0.027902     0.054585     0.207523   \n",
       "SRR11050915     0.033311     0.104493     0.062696     0.030960     0.352338   \n",
       "SRR11050916     0.058309          NaN     0.053576     0.052673     0.425000   \n",
       "SRR11050917     0.087642          NaN     0.025974          NaN     0.405922   \n",
       "SRR11050918     0.061920     0.032175     0.028114          NaN     0.501379   \n",
       "SRR11050919     0.127470     0.048457     0.104337     0.058858     0.284136   \n",
       "SRR11050920     0.085161     0.022134     0.102145     0.060289     0.193966   \n",
       "SRR11050921     0.045086     0.069573     0.064921     0.042735     0.046555   \n",
       "SRR11050922     0.053807     0.111235          NaN     0.078616     0.320793   \n",
       "SRR11050923     0.077963     0.026532          NaN     0.074276     0.160944   \n",
       "SRR11050924     0.133049          NaN     0.102775     0.074720     0.078802   \n",
       "\n",
       "             11_16748108  11_16748111  11_16748122  11_16748149  11_16752815  \\\n",
       "SRR11050913     0.237741     0.157580     0.056867     0.080150     0.105152   \n",
       "SRR11050914     0.240038     0.228542          NaN          NaN     0.138281   \n",
       "SRR11050915     0.271493     0.324254     0.029011          NaN     0.028090   \n",
       "SRR11050916     0.140056     0.098256          NaN          NaN     0.171380   \n",
       "SRR11050917     0.313269     0.256949     0.041580     0.020149     0.121065   \n",
       "SRR11050918     0.162262     0.247341     0.066372     0.021286     0.170648   \n",
       "SRR11050919     0.154655     0.016611     0.030148     0.014529     0.107444   \n",
       "SRR11050920     0.041434     0.088909     0.039308     0.037230     0.128488   \n",
       "SRR11050921     0.133067     0.023557     0.043169     0.020231     0.121729   \n",
       "SRR11050922     0.084986     0.149076     0.080150     0.025132     0.073892   \n",
       "SRR11050923     0.106270     0.028233     0.128337     0.023132     0.046653   \n",
       "SRR11050924     0.101240          NaN          NaN          NaN     0.023143   \n",
       "\n",
       "             ...  X_77828545  X_77828723  X_77828981  X_77856805  X_77857415  \\\n",
       "SRR11050913  ...    0.767263    0.815661    0.534759    0.760456    0.168067   \n",
       "SRR11050914  ...    1.250000         NaN    0.628931    1.890034    0.270636   \n",
       "SRR11050915  ...    0.210970         NaN    0.465116    1.214575    0.949367   \n",
       "SRR11050916  ...         NaN    0.548246    0.208333    1.144492    0.352526   \n",
       "SRR11050917  ...         NaN    0.232019    1.399491    0.274348    0.722892   \n",
       "SRR11050918  ...         NaN    0.623053    0.923788    0.928382    0.814901   \n",
       "SRR11050919  ...   11.111111    0.796813    1.388889         NaN         NaN   \n",
       "SRR11050920  ...   12.857143    0.440529    2.083333         NaN    0.446429   \n",
       "SRR11050921  ...   13.106796    0.450450         NaN         NaN    0.257069   \n",
       "SRR11050922  ...    0.403226         NaN         NaN    0.526316         NaN   \n",
       "SRR11050923  ...    0.476190    1.463415    2.000000         NaN    0.327869   \n",
       "SRR11050924  ...         NaN         NaN         NaN    2.500000         NaN   \n",
       "\n",
       "             X_77875460  X_77826960  X_77828141   region   genotype  \n",
       "SRR11050913    0.564972         NaN         NaN  several  wild type  \n",
       "SRR11050914    0.486027    0.414938    0.896057  several  wild type  \n",
       "SRR11050915    0.154321    0.599700    0.218341  several  wild type  \n",
       "SRR11050916    0.110254    0.527426    0.320000  several   ADAR1-/-  \n",
       "SRR11050917    0.225225    0.092678    0.339559  several   ADAR1-/-  \n",
       "SRR11050918    0.222717    0.214133    0.182815  several   ADAR1-/-  \n",
       "SRR11050919    0.166667    0.492611         NaN  several  wild type  \n",
       "SRR11050920    0.202429         NaN    0.400000  several  wild type  \n",
       "SRR11050921         NaN    1.315789         NaN  several  wild type  \n",
       "SRR11050922         NaN    0.401606         NaN  several   ADAR1-/-  \n",
       "SRR11050923         NaN    0.843882    0.390625  several   ADAR1-/-  \n",
       "SRR11050924         NaN    1.123596    0.373134  several   ADAR1-/-  \n",
       "\n",
       "[12 rows x 3779 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c72a9aa6-dc23-48b2-a73d-44bf62b3153b",
   "metadata": {},
   "source": [
    "## Statistics for frequency data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f018f7a5-3b6c-4c97-9071-8adc16d65bc5",
   "metadata": {},
   "source": [
    "### Anova tukey\n",
    "The funtion anova_tukey_test returns the p-values for ANOVA test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "745ef750-8e62-47f1-9bb2-3d44e2d2e8a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/mnt/d/GoTx_Folder/src/a2ihelper/stats.py:141: ConstantInputWarning: Each of the input arrays is constant; the F statistic is not defined or infinite\n",
      "  aux_aov = f_oneway(*data_by_condition)\n"
     ]
    },
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>coord</th>\n",
       "      <th>12_98599984</th>\n",
       "      <th>17_80353632</th>\n",
       "      <th>19_41861150</th>\n",
       "      <th>19_41861168</th>\n",
       "      <th>19_55386433</th>\n",
       "      <th>19_55386578</th>\n",
       "      <th>19_55388245</th>\n",
       "      <th>20_3867545</th>\n",
       "      <th>2_206144963</th>\n",
       "      <th>3_45680382</th>\n",
       "      <th>5_172952431</th>\n",
       "      <th>7_44799741</th>\n",
       "      <th>7_44801375</th>\n",
       "      <th>7_44801505</th>\n",
       "      <th>X_48576551</th>\n",
       "      <th>X_48577089</th>\n",
       "      <th>X_48577987</th>\n",
       "      <th>X_77827544</th>\n",
       "      <th>X_77828394</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tests</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>(wild type, ADAR1-/-)</th>\n",
       "      <td>0.021365</td>\n",
       "      <td>0.024347</td>\n",
       "      <td>0.040579</td>\n",
       "      <td>0.032321</td>\n",
       "      <td>0.017189</td>\n",
       "      <td>0.032522</td>\n",
       "      <td>0.03586</td>\n",
       "      <td>0.000112</td>\n",
       "      <td>0.047728</td>\n",
       "      <td>0.000163</td>\n",
       "      <td>0.016865</td>\n",
       "      <td>0.008789</td>\n",
       "      <td>0.006234</td>\n",
       "      <td>0.031004</td>\n",
       "      <td>0.013169</td>\n",
       "      <td>0.028196</td>\n",
       "      <td>0.0017</td>\n",
       "      <td>0.000117</td>\n",
       "      <td>0.004126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "coord                 12_98599984 17_80353632 19_41861150 19_41861168  \\\n",
       "tests                                                                   \n",
       "(wild type, ADAR1-/-)    0.021365    0.024347    0.040579    0.032321   \n",
       "\n",
       "coord                 19_55386433 19_55386578 19_55388245 20_3867545  \\\n",
       "tests                                                                  \n",
       "(wild type, ADAR1-/-)    0.017189    0.032522     0.03586   0.000112   \n",
       "\n",
       "coord                 2_206144963 3_45680382 5_172952431 7_44799741  \\\n",
       "tests                                                                 \n",
       "(wild type, ADAR1-/-)    0.047728   0.000163    0.016865   0.008789   \n",
       "\n",
       "coord                 7_44801375 7_44801505 X_48576551 X_48577089 X_48577987  \\\n",
       "tests                                                                          \n",
       "(wild type, ADAR1-/-)   0.006234   0.031004   0.013169   0.028196     0.0017   \n",
       "\n",
       "coord                 X_77827544 X_77828394  \n",
       "tests                                        \n",
       "(wild type, ADAR1-/-)   0.000117   0.004126  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pv = a2i.stats.anova_tukey_test(df, only_pvalue=True, pvalue_filter_limit_anova=.05, pvalue_filter_limit_tukey=.05, return_only_significant=True)\n",
    "df_pv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f14fed57-c0a2-4795-bbb0-7fa749f2939f",
   "metadata": {},
   "source": [
    "### Mann-Whitney U rank test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "f86b9116-fa1c-4f69-86c7-ec7c14bdf71e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>coord</th>\n",
       "      <th>11_16755004</th>\n",
       "      <th>12_98599984</th>\n",
       "      <th>17_80353632</th>\n",
       "      <th>19_41860809</th>\n",
       "      <th>19_41861150</th>\n",
       "      <th>19_41861168</th>\n",
       "      <th>19_41861208</th>\n",
       "      <th>19_41869090</th>\n",
       "      <th>19_55386433</th>\n",
       "      <th>19_55388283</th>\n",
       "      <th>...</th>\n",
       "      <th>7_44799741</th>\n",
       "      <th>7_44799807</th>\n",
       "      <th>7_44801375</th>\n",
       "      <th>X_48576551</th>\n",
       "      <th>X_48577089</th>\n",
       "      <th>X_48577987</th>\n",
       "      <th>X_77827544</th>\n",
       "      <th>X_77828394</th>\n",
       "      <th>region</th>\n",
       "      <th>genotype</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pvalue</th>\n",
       "      <td>0.025974</td>\n",
       "      <td>0.008658</td>\n",
       "      <td>0.008658</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>0.041126</td>\n",
       "      <td>0.041126</td>\n",
       "      <td>0.041126</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>0.004329</td>\n",
       "      <td>...</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.041126</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.015152</td>\n",
       "      <td>0.025974</td>\n",
       "      <td>0.002165</td>\n",
       "      <td>0.002165</td>\n",
       "      <td>0.002165</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type_vs_ADAR1-/-</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "coord  11_16755004 12_98599984 17_80353632 19_41860809 19_41861150  \\\n",
       "pvalue    0.025974    0.008658    0.008658    0.025974    0.041126   \n",
       "\n",
       "coord  19_41861168 19_41861208 19_41869090 19_55386433 19_55388283  ...  \\\n",
       "pvalue    0.041126    0.041126    0.025974    0.025974    0.004329  ...   \n",
       "\n",
       "coord  7_44799741 7_44799807 7_44801375 X_48576551 X_48577089 X_48577987  \\\n",
       "pvalue   0.015152   0.041126   0.015152   0.015152   0.025974   0.002165   \n",
       "\n",
       "coord  X_77827544 X_77828394   region               genotype  \n",
       "pvalue   0.002165   0.002165  several  wild type_vs_ADAR1-/-  \n",
       "\n",
       "[1 rows x 23 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mw = a2i.stats.mannwhitney_test(df, only_pvalue=True, pvalue_filter_limit=.05, return_only_significant=True)\n",
    "mw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "0d986293-306c-4cda-bd22-678ad6144222",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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KikSBuaqNHDkSP//8M968eYOxY8fK7MMjS1mff6dOnQBA5nw18rK1tUVgYCAAiE2vIOzDpsrzj+gWCmyIXmnbti2io6Nx48YNODg4lJte2JGydL+NU6dO4ejRo+oookoJf73u378fAKSOnmnTpg3evn2L06dPiz1Hnezs7PDu3TuZE+0pqlatWhg6dCiePXuGOXPmICsrSyLNrVu3cOnSJanPHzFiBAoLC3HgwAEYGxuL5lpRhLB2Yfv27RKTMH78+BHz58+HQCBAnz59VFZjU716dVStWhUPHz4UG91WXFyMtWvXyuzYrgqjRo3CggUL8Pr1a4wdO1ah2qGyPv9WrVqhY8eOiI6OxsqVKyX6BwkEAly9elVs1NaBAwekHv/y5csAxH+YCDvfC+e2IV8eaooiX7SJEyfiypUr+PXXX3Hq1Ck0bNgQz549w927dzFhwgTs3LlT00Usk5ubGw4dOoQPHz7A2tpaan+INm3aYM+ePfjw4YNoNJW6eXh4ICQkBEOHDkXr1q1hamqKhg0bYuLEiUrnuXDhQrx8+RLHjx/HhQsX4OTkBDs7O7x9+xbPnz/H69evMWbMGHTv3l3iuUOHDsVvv/2GgoIC9OrVC7a2tgofv2fPnpg4cSJ27NiBkSNHwtXVFY6OjsjNzUVcXBw+fvwIDoeDxYsXK/0aSzMyMsLEiRPx+++/w8/PDx06dBBNDfDu3TuMGjUK+/btU9nxShszZgwEAgF++eUXjB07FiEhIXL9YCjv81+3bh0mTJiA3bt34+jRo2jWrBlsbW3x+vVrPH36FFlZWQgKChIF4QcPHsTixYvRpEkTNG7cGIaGhnj69CmSk5NhZmYmqrkBPjfjcrlc3L17Fz4+PmjatCkMDAzg4eEhcwZyol8osCFftHbt2mH//v34/fffkZycjGfPnoHD4WDjxo1o3ry51gc2JWtfhH1uSitZi9O6dWu5hr9X1I8//giWZXHu3DmcPHkSRUVFcHd3r1BgY25ujp07dyIyMhL//PMPUlJScOfOHVSvXh316tXDmDFj4OXlJfW5VlZWaN68OeLj4ys00mf27Nlo3749Dh48iISEBNy9exdmZmZo1KgRPD09MWrUKJkdi5U1adIk1K5dG7t378atW7dgamoKNzc3TJs2DUlJSSo9ljTjxo2DQCDA6tWrRX1uyhrFBZT/+deoUQOhoaE4ePAgTpw4gcTERPD5fNSsWRPNmzeHh4cH+vfvL8pv+vTpOHv2LBISEvDff/+Bz+ejVq1aGDFiBPz9/VG/fn2x42/cuBFr1qxBbGws7t27B4FAgNq1a1Ng84VgWFnd6QkhRE+8evUKPXv2RJ06dXDu3LlKH/1FCKk81MeGEKL3tm7dCoFAgFGjRlFQQ4ieoxobQoheevLkCf766y+8fPkS0dHRqF27Nk6ePKnypiJCiHahPjaEEL305s0bhIeHw8zMDO7u7li4cCEFNYR8AajGhhBCCCF6g/rYEEIIIURvUGBDCCGEEL3xxfWxiY+PB8uyomm3CSGEEKL9+Hw+GIZB69aty0z3xQU2LMvKXAmXEEIIIdpJ3nv3FxfYCGtqWrZsqeGSEEIIIUReiYmJcqWjPjaEEEII0RsU2BBCCCFEb1BgQwghhBC9QYENIYQQQvQGBTaEEEII0RsU2BBCCCFEb3xxw72VwefzUVxcrOliED1jaGhIE0USQoiKUWBThg8fPuDt27coKCjQdFGInjI1NUWNGjVQrVo1TReFEEL0AgU2Mnz48AFpaWmwtLREjRo1YGxsDIZhNF0soidYlgWfz0dOTg7S0tIAgIIbQghRAQpsZHj79i0sLS3h6OhIAQ1RC3Nzc1StWhWpqal4+/YtBTaEEKIC1HlYCj6fj4KCAlhZWVFQQ9SKYRhYWVmhoKAAfD5f08Uh/y8iIgJ+fn7lpuNyuUhNTa2EEhFC5EWBjRTCjsLUsZNUBuF5Rh3UNau8wJLP58uVhhCiWRTYlIFqa0hloPNM8548eQJPT0+cOXNGYl9aWhoCAgIQHByMCRMmYNWqVcjLyxNLw+fzsXXrVgwePJiCG0I0jAIbQsgXr169evD398fChQsRGBiIzMxMFBcXY9euXfDy8kLVqlUxYsQIzJ49G7dv34aXlxcuXboEAEhISIC3tzciIyMxa9YsquklRMOo8zAh5ItnZGSE0aNHY+DAgdi4cSOCg4NF81f9/fffaNWqFQDA3t4eBw8exLFjx7B48WIAwJIlSzBlyhSMHDkSRkZ0SSVE06jGhhBC/h/DMDA0NBR7bGAgeZksmUb4mJoUCdEOFNgQQr54xcXFOHDgADw9PZGamorAwEC4ubmhb9++GDt2LObOnYvXr1/j7t27+Oabb7Bu3TpRjc2iRYtw8OBBDB48GNeuXdPsCyGEUGBD1CciIgJcLhcbN27UdFEIKdPz58+xbds2LF26FJs2bYKdnR0MDQ0xfvx4HDt2DFlZWdi3bx9Wr14NFxcXHD9+HN27dwcAuLi4ICIiAl5eXli2bBl1HiZEw6hBmBDyxWvUqBGioqKkdvx1dHTE9u3bRQGLtDTGxsaYNGkS/P39qfMwIRpGgQ0hhKD8eavkCVgoqCFE86gpSkudOHECw4YNg4uLCzp16oSgoCC8ffsW8+bNA5fLRXR0tFj6rKwsrF69Gn379kXLli3Rrl07TJw4ETdv3pTIOzo6GlwuF/PmzcP79++xaNEidOnSBc7OzvDy8kJ4eLjMcsXHx+P7779Hhw4d4OzsDA8PDyxevBivX78WS+fn54egoCAAQHBwMLhcruhfREQETp48CS6Xi5kzZ8o8VlBQELhcLo4ePSra5uHhAS6XC5ZlsXv3bnz11Vdo2bIlunbtiuXLl+PDhw9S82JZFpGRkRg1ahTatm0LFxcXDBw4EH/99Rc1HRAJ3t7eCAkJKTddSkoKHB0dK6FEhBB5UY2NFtq1axd++eUXGBoawt3dHTY2Nrh27ZooICnt8ePHGD9+PF6/fo169eqhe/fueP/+PW7cuIFr165hzZo1GDhwoMTzPnz4gBEjRiA3NxctW7ZEXl4eYmNjsWDBArAsC19fX7H0R48eRVBQEAQCAVq3bo06derg3r17OHDgAM6cOYM9e/agcePGAICuXbuiqKgIt27dQrNmzeDk5CTKp169enB1dUXNmjURFRWF9+/fw9raWuxYubm5OHXqFKpVq4Z+/fpJlH3ZsmUIDQ2Fu7s7OBwObt68iZCQEMTExGD//v2wtLQUpRUIBJgxYwZOnToFS0tLtGzZEhYWFkhISMCaNWsQHR2NP//8U+roF0IIITqG/cIkJCSwCQkJZabJz89nk5KS2Pz8/Eoq1f+8ePGCbdGiBduyZUv25s2bou08Ho/99ttvWQ6Hw3I4HPbGjRssy7JsUVER6+XlxXI4HHb37t2sQCAQPefevXusu7s726pVK/bt27ei7Tdu3BDlM3XqVPbTp0+ifWfOnGE5HA7bo0cPsXKlp6ezLi4ubPPmzdnz58+LthcXF7MrVqxgORwOO2zYMLHnHD58mOVwOOyGDRukvtbffvuN5XA47K5duyT27d+/n+VwOOyyZcvEtvfs2ZPlcDhsmzZt2MTERNH23NxcdsyYMSyHw2FXrlwp9pxt27axHA6HHT9+PPvu3TvR9k+fPrHfffcdy+Fw2L1790otY2XQ5PlGCCHqcPjwYXb06NHlpuNwOOzLly/lylOe+zfLsiz9RNUy4eHh4PP5GDJkCNq2bSvabmpqigULFkjUKly4cAEPHjyAl5cXxowZIzaXRvPmzTF58mTk5eXhn3/+kTiWpaUlli5dCgsLC9G23r17g8PhID09XWxxv7CwMPB4PAwYMAA9e/YUbTcwMMCsWbNgZ2eHxMRE3L59W+7X6uvrCwMDA6lNX2FhYQAAHx8fqc8dPXo0nJ2dRY+rVKmCn3/+GQzDIDw8HIWFhQCAoqIi/PXXX6hSpQrWrVsHW1tb0XMsLCywfPlymJiY4ODBg3KXmxBCiCRtWW+NAhstEx8fDwDo37+/xL569eqJNekAEM2b0atXL6n5ubm5AQASExMl9jk7O0s0AQFAw4YNAQBv3rwRbYuNjQUAqU1aJiYmouYiYTp5ODo6okuXLnjw4IFYQJSUlIR79+7B1dUVzZo1k/rcr776SmJb48aN0axZM+Tm5uL+/fuivLKzs+Hm5iYW1AjVqFEDDRo0wMOHD8Hj8eQuOyGEkP/RpvXWqI+NlsnMzAQA1K5dW+p+e3t73Lt3T/Q4LS0NADBjxgzMmDFDZr7Z2dkS22QdQ1iDI6z1KFkuBwcHqc8Rbhemk9eIESNw+fJlhIaGiqatDw0NBQCJPj7Sjidte3Jysqgcwvfn8uXLUvsnlZSTkwMzMzOFyk8IIUR8vbWjR4/C2dlZtN7a+vXr0bNnT4wYMQK9evXCypUr4eXlhUWLFgH4vN7ali1bwOfzMWfOnAqPLtTawKasm9Dy5cvLvOnpA1nTs7MsK/a4uLgYANCtWzdUr15dZn6NGjWS+xjKlEvZPHv27InatWvj5MmTmD9/PoyMjHD8+HFUqVJFaq1MeUq/PwKBAADQoEEDtG7duszn0lBdQghRjjatt6a1gQ3w+df30KFDJbY3b95cA6WpHDVr1sTTp0+RkZGBBg0aSOzPyMgQeyysdfn6669lNkepgp2dHZ4+fYrU1FRRU1VJ6enpAD6XXxGGhobw9fXFxo0b8e+//8LExAQfP37EiBEjUKVKFZnPS0tLkxr8Ct8fOzs7AECtWrUAAE2bNsWqVasUKhshhBDFaMN6a1rdx8bBwQFTp06V+NeiRQtNF01t2rRpAwA4deqUxL6XL18iOTlZbFunTp0AAGfPnlVruYQdmY8dOyaxr7CwUFTekh2ehTUgRUVFZebt6+sLQ0NDhIaGytUMBXye56e0x48fIzk5GVWqVBH1zXFxcUHVqlURHR2N3NzcMvMkhBCiHG1ab02rA5svkbe3N4yNjREZGYlbt26JthcUFGDFihWiphWhvn37olGjRoiMjMS2bdskOl0VFhYiKioKKSkpFSqXj48PzMzM8O+//+LixYui7QKBAL///jtev36Nli1biqobgf/Vmjx9+rTMvGvVqoUePXrg7t27onlvWrZsWeZz9u3bh6SkJNHjvLw8LF++HCzLYtiwYTAxMQHwuWPzhAkT8OHDB0ydOlXU56ak+/fvSw2UyJeLZVnk5+fL9a908ychXyJtWm9Nq5uiPnz4gLCwMLx79w7Vq1dH+/btUa9ePU0XS63q16+PGTNmYM2aNRg9ejTat28Pa2tr3Lp1CwYGBujZsycuXLggqg0xMjJCcHAwJk6ciF9//RV79uwBl8uFpaUlXr16hSdPnuDDhw/YtGlTuZ1ny2Jvb4+lS5ciKCgIkyZNQps2bUQT9D19+hQ1atTA6tWrxZ7TqlUrVK9eHadPn4afnx8cHR1hYGCAYcOGiWqmhEaMGIFz584BAIYPH15ueQYNGoThw4ejffv2qFq1KmJjY/HmzRs0bdoU06ZNE0s7adIkPH78GMePH0e/fv3QokUL1KlTB9nZ2Xj58iVSU1PRq1cvpfr0EP3Dsiz8/f2RkJAgV3pXV1fs2LFDZdXohOgibVpvTasDm/v372PhwoWixwzDYNiwYVi0aJHoF7kyWJaVGGpWUkFBAQQCAYqLi0WdcyvTuHHjYGdnh507dyI2NhaWlpbo0qULZs6ciXnz5gEAqlWrJipbgwYNcPjwYezduxdnz55FXFwcgM9Dmd3c3NC7d2+4u7uL0gtrfViWlfr6hL9Ahe+BkJeXFxwcHLBjxw7Ex8fjzp07qFmzJr7++mt89913qFWrllh6IyMjbNmyBX/88QcSExNx8+ZNsCyL1q1bw9XVVeyYbm5uMDQ0hLGxMQYMGCDzfReWbf78+bC3t8fhw4eRmpoKKysrjBw5ElOnToWFhYXE89esWYPevXsjPDwc9+7dQ2JiImxsbGBvb4/Bgwfjq6++0shnDXyuwhUIBMjPz5eokSOVLz8/X+6gBgDu3LmDrKwsmJubq7FUhOgGYfBSWFiI4uJiqffa0jUyPB5PLJ2sGhuWZeX6AcGwWlqPumbNGvTr1w8NGjQAy7JITEzEunXrkJycjG+++UbUNqeoxMREsWHMshgZGaFu3bowNTVV6jjqkJ+fjwEDBqCgoACXL1+W6Hyly06ePIkFCxZg4MCBWLJkicx0AwYMQEZGhlgzna4rKCjAy5cvy+2LRCpHQUGBqNZv7dq1Mq8BBQUFmD17NgBgw4YNWnWtIERfmZiYlNtVQWtrbObMmSP2uEuXLmjZsiUGDhyI0NBQTJkyReEROELGxsZo0qSJzP0FBQVIT0+HqampRuY1efnyJaytrVG1alXRtk+fPmHVqlV4//49vL29yxwxpGv4fD727NkD4POMwmW958JoXd/mmzEyMkK9evXo5qgF8vPzRX+7uLjIrIkpmY7L5VKNDSFq9ujRI7nSaW1gI42VlRU8PT0REhKChIQEpYc3MwwjtoxAaQYGBjAwMIChoaFGakWioqKwceNGtGjRArVr18aHDx9EM+g6ODhg5syZelFbc+7cOZw9exaJiYl4+PAh+vTpI9b5WBphYKMPr1/I0NAQBgYGMDc317uATReVrOq2sLCQGbDIm44Qohry9mPTqcAGAGxsbABAr6e/79ChA5KTk3Hnzh0kJyeDZVnUqVMHQ4cORUBAgNSlAXRRUlISIiIiYGVlhYEDB+Lnn3/WdJEIIYToOJ0LbO7evQvg8ygdfeXi4oLff/9d08VQO+G8RIo4f/68mkpDCCFEH2hlYHP//n3UrVtXoh/J8ePHcf78eTg6OpbbeYgQQpRhZmYmGrVXVtOgvOkIIZVLKwObw4cP4/Dhw+jYsaOoZubevXuIi4uDhYUFVq9erZL1JAghpDSGYbBjxw7R3xVNRwipXFoZHXTt2hUZGRlITk7GtWvXUFRUhNq1a2PEiBGYOHGi3k/SRwjRLHkDFQpoCNE+WhnYdOvWDd26ddN0MQghhBCiY7QysCGEEEKI7mJZVq7Ry2ZmZiqv+aTAhhBCCCEqo8h6a+pYa41W9yaEEEKIyvB4PLnXW7tz547K56WjGhtCCCGEqEVUVJTUWbnz8/Ph6emplmNSjY2SiouLUVRUpHX/NLVCdUnz5s0Dl8tFamqqaFtERAS4XC4iIiLkyiM6OhpcLhcbN25UVzEJIYSombm5ucx/6kI1NkooLi7G2HHjkfM+W9NFkWBlbYPdu/7Wq7WU5OHh4QGAZiYmhJAvHQU2SmBZFjnvs2HJ9QEYLar0YgXISQkHy7IaLcaPP/6IgIAA1KpVS6PlIIQQ8uWhwKYiGAMwWhTYaDac+R87OzvY2dlpuhiEEEK+QNpzVyZaISsrC1wuF7NnzxbbfurUKXC5XLRt2xYCgUC0PT8/H87OzpgyZYpom7Q+NrIUFRVh8+bN8PDwQMuWLdG/f38cOHBA7vKmpqaCy+UiLS0NaWlp4HK5on8RERE4cuQIuFwudu3aJfX5+/btA5fLxaFDh8TymzdvHpKTkzFhwgS0adMGbdu2xbRp02S+pqSkJEybNg2dOnWCs7MzevfujV9//RWfPn2S+7UQQog+EK6j5urqKnMdNXnSKItqbIgYW1tbNGnSBDExMWLbhY8/fvyIpKQkODs7AwDi4+PB5/PRrl07pY43f/58HD16FA0bNsTo0aORm5uLtWvXom3btnI9v1q1aggMDMTu3bsBAGPHjhXtc3JyQsOGDbFixQocPnwY48aNk3j+4cOHYW5ujgEDBohtf/HiBUaNGoXWrVtj1KhRePjwIU6fPo1bt27h8OHDYs1sZ86cwYwZM2BiYoJevXqhRo0aSEpKwrZt2xAdHY29e/fCxMREiXeHEEJ0jzzrqKlzrTUKbIgEd3d37N+/Hy9evBCtyxUTEwN3d3fExsYiJiZGFNhER0eLnqOo//77D0ePHkWrVq0QEhIiuvmPHTsWQ4cOlSuPatWqYerUqYiMjAQATJ06VSLNwIEDsW/fPiQkJMDFxUW0/f79+7h37x6GDh0KS0tLsefExcVh6tSpCAwMFG37+++/sWrVKvz6669Ys2YNgM81XHPnzkWdOnWwf/9+1KxZU5R+x44dWLt2Lfbs2YOJEyfK+a4QQojukydYUddaa9QURSQIa1+EQUtWVhYePXqE3r17g8PhiNXmxMTEoFq1amjWrJnCx/nnn38AAFOmTBGr0WjSpAmGDBlSgVcgbvjw4QCA8PBwse3Cx8OGDZN4jrW1Nfz9/cW2jR49GrVq1cKpU6dQWFgIADh69Cg+ffqE2bNniwU1ADBhwgTY2trixIkTKnsthBBCykY1NkRC+/btAXwOWnx9fRETEwOWZdG+fXukpqYiMjISAoEAhYWFSExMRJcuXWBgoHiMnJKSAgBwc3OT2Ofm5obQ0NCKvZD/16xZM7Rs2RInTpzA/PnzYWZmhsLCQhw7dgwNGjSQ2ozm5OQkMc+CsbExXFxccObMGTx9+hRcLhd37twBAMTGxopeT0lGRkZ4+vSpSl4HIYSQ8lFgQyRUr14djRs3FtXMxMTEwNraGlwuF+3bt8eePXuQlJSEDx8+gM/nK9UMBXzur2NqaooqVapILYMqDR8+HD/99BNOnz6NwYMH49y5c3j//r1ErYyQra2t1O3CcuXm5gIAcnJyAEDUx4cQQohmUWBDpGrXrh0OHjyIFy9eICYmBm3btgXDMGjXrh0MDAwQExMjuqkr23G4atWqePHiBT59+iQR3Lx7967Cr6GkAQMG4JdffkF4eDgGDx6M8PBwGBoaymzyysrKkrpdWC5hnxzh/1FRUahfv75Ky0wqH8uyKCgoEM0FJewDYGpqqrb+AIQQ1aLAhkjVvn17HDx4EKdOncKjR4/g6+sLALCyshL1s8nJyYGlpSWaN2+u1DG4XC7u3buHuLg4dOvWTWxfXFycQnkZGBiAz+fL3F+lShUMGDAA4eHhuHnzJq5fv47u3bvLnG8nOTkZ+fn5Ys1RfD4fCQkJMDU1RcOGDQEALVu2RFRUFG7fvk2BjY5jWRZz585FcnKyxD4nJyesXr2aghtCdAB1HiZSCZuX/v77b1H/mpL7bt68icTERLi5uSm9fMOgQYMAAJs2bRJ1xgWAR48e4ciRIwrlZWVlhezsbLF8Shs+fDhYlsWMGTMgEAjg4+MjM+379+/x119/iW3bu3cvXr9+jX79+ok6Ow8bNgwWFhZYt24dnj17JpHPhw8fkJSUpNBrIZWLZVnweDzweDyxOZpKEggEojSantmbEFI2qrEhUtWoUQMNGzbE06dPRf1rhIT9bADlm6EAoGPHjhg8eDCOHj2KQYMGwcPDA7m5uTh+/Dg6deqEixcvyp1X+/btcffuXXz77bdo06YNjIyM4OHhITZay8XFBVwuFykpKahevTq6d+8uMz83Nzf8/fffuH37Npo3b46HDx/i/PnzqFmzJmbOnClKV716daxbtw4zZsyAl5cXunfvjnr16iE/Px8vX77EzZs3MWTIECxdulSp94ioX0FBgahGUpaUlBTR6LqwsDCVTyhGCFEdCmwqghVozTIGAABW+q9NZbm7u+Pp06ei/jVCwscsyyrdcVho5cqVqF+/Pg4fPow9e/agbt26mD17Nho1aqRQYDN58mS8f/8ely5dQnR0NAQCAWrXri0xDH3QoEFYu3YtBg8eDGNjY5n51atXDz/99BPWrl2LvXv3gmEY9O3bF7Nnz5ZYA6tXr16IiIjAjh078N9//+HSpUuoUqUK7O3tMWbMGLnn5CGEEFJxDKtkvWphYSESEhJw//59ZGVl4ePHj6hatSpsbW3RrFkzuLi4aOVsq4mJiQA+942Qhcfj4enTp2jYsKHUX2a0urfumjlzJo4fP44TJ06gcePGEvtTU1PRq1cvDB06FKtWraqUMpV3vhH14vF4ohqbKk2HgDEwkug8zAqK8OnhEQBUY0OIpshz/wYUrLERCAQ4f/48QkNDcePGDVFnzZKxkfBCYGxsjI4dO8LX1xceHh5KzXOirQwNDbF7199a2dbOMAwFNTJkZGTg9OnTcHd3lxrUEMIYGH3+p+mCEEKUJndgExERgQ0bNuD169dgWRZ16tRBy5Yt0ahRI1hbW6NKlSrIzc1FTk4Onjx5goSEBFy6dAmXL19GrVq1MH36dL2qkqfgQXecP38eiYmJOHXqFPh8PiZPnqzpIhEtxQqKFNpOCNE+cgU2gwYNwoMHD9CoUSNMmzYNXl5eqFu3brnPe/nyJf755x8cP34cQUFB2LVrF44ePVrhQhOiiKioKBw5cgS1a9fGzz//jI4dO2q6SERLCZubCCG6S67AxtDQEMHBwejdu7dCmdetWxdTpkzBlClTcObMGWzevFmpQhJSEatWrZK7v4yjo6PUpREIIYToBrkCG+HKyRXRp08f9OnTp8L5EEIIIYTIoj89egkhhBDyxVP5PDa5ubl4+vQpateujZo1a6o6e0IIUSlTU1OEhYUB+DzCMycnBwEBAQCA7du3w8zMTGytKFNTU42VlRBtJ229tcpea02pwObq1av4999/4efnJ7ZO0P79+7Fq1Srw+XwwDIOxY8di7ty5KissIYSoGsMwMDMzk7pWlDDAobWiCCmfrPXWKvv7o1RTVFhYGE6ePIl69eqJtj169AjLly+HQCCAq6srLC0tsWvXLpw/f15lhSWEEEIIKYtSNTZJSUlwcnKCpaWlaNvhw4fBsix++eUXDBw4EGlpafjqq6+wf/9+eHh4qKzAhBCiDgzDYPXq1RLV6AAqvSqdEF0k/A7l5OTAz88PABASEgIrKyvtb4p6+/YtnJ2dxbb9999/qFatGgYMGAAAcHBwQNu2bfHo0aOKl5IQQiqBsFmKEKKc0t8hMzOzSv9RoFRgY2RkJFpOAQA+ffqEhw8fonv37mJLJ9ja2uLmzZsVLyUhhBBCtI6ws3BJPB5P6t9C6q4BVSqwcXBwwL1790SPL126hOLiYnTu3Fks3fv372FtbV2hAhJCCCFEOxUUFIgWkZVG2CRVkroXklUqsPnqq6/w22+/YerUqWjXrh127NgBY2NjsZmJWZbFvXv30LBhQ5UVVpsUFxfTIpiEEEKIllEqsPHz88P58+dx5swZnDlzBgYGBpgzZw5q1aolSnPjxg1kZWXh66+/VllhtUVxcTEmjBuLrPc5mi6KBFtrK+zctVulwY2/vz+uXr0KV1dXhIaGSk3D5XLFHpuZmaFq1apo2LAh2rRpg6FDh6JBgwZlHic+Pl50vmzfvh3dunWTmm7jxo0IDg4W22ZhYYEGDRqgf//+GDduHExMTCSeFxISgnv37uHevXt4/PgxiouLceTIETg5OZVZrrKsXLkS+/fvx40bN8Q60xNCyJemStMhYAw+hxWlO+CzgqJKW4tNqcDG3Nwc+/fvR2xsLN69ewcnJyeJm5aBgQGCgoL0ckQUy7LIep+D+Z3sYKhFAyWKWWDl9UyV1iS9evUK169fB8MwuHPnDh4/fozGjRtLTVujRg1RYMLn85GVlYWEhAT8+eef2LZtGwICAjBjxgyZbasREREAPn8RIiIiZAY2Ql999RUaNWoElmXx5s0bnD17Fr/++iuio6Px119/SaRfvnw5AMDOzg42NjZ4+/at3O+DLBcuXEC7du0oqNGAiIgIREZGIiQkpMx0XC4X586dg6OjYyWVjJAvE2NgJApsNHlrVHrmYQMDA7i7u8vc3759e7Rv317Z7HWCIQMYGmhRZCNQfdNYZGQkBAIBJkyYgJ07d+Lw4cOYM2eO1LQ1atTA1KlTJbbHx8dj9uzZ2Lp1KwwNDTF9+nSJNDweDydOnECLFi1gaWmJc+fOIScnB1ZWVjLLNmDAALHmz5kzZ2Lw4MG4evUqbty4gQ4dOoil37p1K1q0aIGaNWti3rx5FV4D7dGjR3jx4gXGjBlToXyI/Ph8PoyNjcvcD6DcNGXtJ4ToNpWsFfXs2TPEx8fj6dOnqsiOaJHIyEjY2NhgxowZcHBwwD///IOioiKF8mjdujX++usvmJqaYvv27Xj16pVEmtOnTyM3NxeDBg3CoEGDUFhYiOPHjyt0HGtra/Tq1QsAxDq3C/Xo0UOly3wIJ5/s2bOnyvIksj158gSenp44c+aMxL60tDQEBAQgODgYEyZMwKpVq5CXlyeWhs/nY+vWrRg8eLDYqE5CiH5ROrDh8XhYu3Yt2rdvj/79+2PkyJHYtm2baP/hw4cxdOhQiamVie6IjY3F8+fP0b9/f5iYmMDLywtv3rzBlStXFM6rfv36+Oqrr8Dn86XemCIiImBoaIgBAwagX79+MDU1xeHDhxU+jrAZrjI6UJ8/fx4cDoeaOCpJvXr14O/vj4ULFyIwMBCZmZkoLi7Grl274OXlhapVq2LEiBGYPXs2bt++DS8vL1y6dAkAkJCQAG9vb0RGRmLWrFlUY0OIHlMqsMnLy8Po0aOxc+dOGBsbo3v37hL9Otq1a4fk5GScOHFCJQUllU8YWAwaNAgAMHjwYAD/6wujqLZt2wIA7t69K7Y9LS0N0dHR6NixI2rWrAlLS0v07NkT9+7dQ0pKitz5v3//HufOnQMAtGrVSqkyyisrKwt37tzRyz5k2srIyAijR49GVFQUateujeDgYMTFxeHkyZP4+++/8dtvv8He3h4uLi44ePAgZsyYgcWLFwMAlixZAl9fXxw/fpw+M0L0nFKBzfbt23H37l34+vri/Pnz+PPPPyXS1KtXD40aNcL169crXEhS+T59+oRTp06hXr16aN26NQCgcePGaN68OS5cuICsrCyF87SzswMAiedGRESAZVkMHDhQtE0YTJUVRP3777/YuHEjNmzYgJ9++gn9+/fH69evMWLECLUHNhcvXoRAIKCbpAaUntKAYRixiUGFStfaGRoa0rIIhHwBlOo8fOLECTg4OGDRokVlVvnb29vj/v37SheOaM6pU6eQl5cnFmwAnwOOVatW4Z9//sG4ceMUylPaaC2WZREZGQlzc3P06dNHtL1bt26wtrbGP//8I7PpQFpt4MiRI7Fo0SKFylXahw8fsHv3brFtVatWFXu958+fR40aNeDi4iLatnHjRom8pHWmJsopLi5GaGgo1q9fDzc3NwQGBuLy5cvo06cPxo4dC09PT/z444948+YNVqxYgdevX2Px4sX49ttvsWjRImzZsgUHDhxAUFCQxGSihBD9oVRgk5GRgR49epTbj8HS0hI5Odo31wspn7CmRFhzIjRgwACsXbsWERERCgc2b968AQDY2NiItt24cQNpaWnw8vJClSpVRNuNjY3Rv39/HDhwABcvXhQLeoQ2bdqE3r17g8/n4+HDh1i2bBn2798PLpdbofmTPnz4IDFPjoODg+j1FhYW4tq1a/jqq6/EagBKPwegwEaVnj9/jm3btmHp0qXw9PQU9csaP348+vTpgyVLlmDfvn2Ij4+Hi4sLpk+fDgsLCwCAi4sLIiIi8Ndff2HZsmU4duwY9bMhRE8pPY9NdnZ2uelSU1NpSQUd9OLFC8TGxgIA+vbtKzVNSkoK7t27hxYtWsidr3DdsJYtW4q2CQOo48ePyxwFdfjwYamBjZCxsTGaN2+OrVu3ol+/fvjll1/QvXt31KlTR+6yleTo6Fhm357//vsPeXl5EqOhFOkPRBTXqFEjREVFSQ1IHB0dsX379jKHexsbG2PSpEnw9/enoIYQPaZUYOPs7Iy4uDhkZGTIvHk8fPgQycnJouG3RHcIOw136NBB6oift2/f4uLFi4iIiJA7sHn+/DlOnjwptvRGbm4uzpw5g2rVqsHT01Pq8y5duoQrV67g7du3qFGjRpnHqFatGqZOnYrFixdj48aNWLlypVxlU9SFCxdgampKzRkaUF5AIk/AQkENIfpNqcBm1KhRuHbtGgIDA/Hbb7+hfv36YvvT0tIwd+5cCAQCjBo1SiUFJZVDIBDg6NGjMDIywq+//io1mODxeOjcuTOOHz+OuXPnSl2+oKTbt29j1qxZKCgowKRJk0TB8IkTJ5Cfnw8fHx8sXLhQ6nO3bNmCP/74A0ePHoW/v3+55R82bBi2bt2Ko0eP4vvvv0fdunXleNWKuXjxIjp27Ahzc3OV503k5+3tDW9v73LTUU0aIV8WpQIbDw8PjBs3Drt27UK/fv3QuHFjMAyDa9euwdvbGw8ePEBRURECAgL0evbhYhZqme1XWcUqKMr169eRkZGBnj17yqwhMTMzQ79+/RAeHo5z586hf//+AD7X5Ag70BYVFYmWVLh//z4MDAzg7++PH374QZSPsBlqyJAhMsszZMgQbNiwAREREXIFNiYmJggICMDSpUvx559/YsWKFaJ927Ztw5MnTwAAcXFxAID169eLmksDAgJkLhchlJSUhIyMDHz//fflloUQQkjlU3pJhXnz5sHFxQVbt24V/SLKzMxEZmYmGjZsiO+//16i46m+YBgGttZWWHk9U9NFkWBrbVWhIa3CYGPo0KFlphs6dCjCw8Nx+PBhscBG2IHWxMQE1apVQ8OGDfHdd99h6NChYiu9P3nyBPHx8eBwOHB2dpZ5nDp16qB9+/b477//cOfOHbi6upb7Gnx9fUW1NpMmTRLV2ly5cgUxMTFiaS9cuCD2msoLbM6fPw+GYdCjR49yy0EIIaTyMawKVkzMyspCWloaBAIBateuLbbKt7ZJTEwEIN6BtTQej4enT5+iYcOGMDMzk5qmuLhYpYtNqkrpOT6Ianl7e4NhGKVmRZZFnvONEEK0EY/Hg6+vLwDAkusjWgSzNFZQhNyUcABAWFiYUtc6ee7fQAVqbEqytbWFra2tKrKSafHixThw4ACAz6NrqlWrptbjlYeChy/P69evkZSUhMDAQE0XhRBCiAwqCWzULTo6GgcPHoSFhYXEwnaEVJZatWrRhJOEEKLl5ApsgoKCwDAMfvzxR9SoUQNBQUFyH4BhmAoNu83Ly8OCBQvQu3dv5OTkSPSRIIQQQojiIiIiEBkZiZCQkDLTcblcnDt3TmcW/JUrsImMjATDMAgICECNGjUQGRkp9wEqGtisW7cOOTk5+PnnnzFz5kyl8yGEEEK+dHw+v8y5nMqa5FLePDRNrsBmz549AD6v/VTysbrFxMRg//79WL58uWgBRUIIIYQo7smTJ/D398f8+fMlZnNPS0vD4sWL0bx5c9y6dQstWrTAtGnTRMuSAJ8Dmp07d+Lo0aM4evSo1gY3cgU27u7uZT5Wh/z8fCxYsAAdO3aEj4+PSvNmWbbMvjoFBQUQCAQoLi5GcXGxSo9NSGnFxcUQCATIz8+HQCDQdHF0Bsuy4PF4cqU1MzOjlb3JF69GjRrw8/PDwoULERERgebNm4PP52Pbtm3YsmULunbtikGDBqFz585Yu3YtvvrqK8yfPx/A50E7f/31F/h8Pn744Qfw+Xzw+Xy5v4Ml5eXlKXWtY1lWru+x1nYe/vXXX/HmzRvs3LlT5Xnz+XwkJyeXmcbIyAgFBQUqPzYhpRUUFIDP54smDyTlY1kWa9euxePHj+VK37hxY8yePZuCG/LFc3V1xZo1a3D48GFs2bIFxcXF+PjxI+bOnYumTZvi/fv3MDQ0xLx583Dt2jUsWbIEALB8+XJ4e3ujT58+MDQ0FN1DCwsLFS5DSkpKuTPWyyLP85QKbB4+fIjTp0/Dw8MDzZs3l5omKSkJ58+fR//+/cud9Ky02NhY7N27F/PmzVPLlPjGxsZo0qSJzP1FRUV4+fIlDAwMaF4RonbC9upGjRrByEhrf2tolfz8fLmDGgB4/PgxGjZsqJJlMFiWFf3oEc5lxTAMTE1NKXAiOuHjx4+oUaOG6HytUqUKGjduDCcnJ7F0L168EF2TjIyM4ODgACcnJ7HpTpSpseFyuUrdWx89eiRXOqWuonv27EFkZCSGDx8uM02NGjXw559/4u3bt1i8eLHceRcVFWH+/PlwcXHBmDFjlCleuRiGEWs3lMbc3BwfP36ElVXFZvIlpCwsy+Ljx48wNzfX+NxMuqTkdzIqKkpmwJKfny9aYNXCwqLCgQ3Lspg7d67UGl8nJyesXr2arhdEaxUXFyM0NBTr16+Hm5sbpk6disuXL6NPnz749ttv4enpiR9//BFv3rzBihUr8Pr1ayxduhTffvstFi1ahC1btiA8PBxBQUGiRYANDAwULoeFhYVSgY283y2lApuYmBg0b968zA69dnZ2aN68OaKjoxXKOy8vD8+fP8fz588lokehdu3aAYBah5/VqFEDaWlpSE1NhZWVFYyNjemCRVSGZVnw+Xzk5OQgNzcXDg4Omi6SzjI3N1f7gqTCWhqWZWX2DRAIBODxeFR7Q7TW8+fPsW3bNixduhSenp6IiIiAoaEhxo8fjz59+mDJkiXYt28f4uPj4eLigunTp4sqAVxcXBAREYG//voLy5Ytw7Fjx3S783Bpr1+/RosWLcpN5+DggIsXLyqUt4mJiczOwpcuXcKbN28wePBgGBsbo0qVKgrlrQjhr+e3b98iLS1NbcchXzZTU1M4ODhQbY2WKygoEE0bL0tKSoqoFlvZKeMJUadGjRohKipKakDi6OiI7du3lznc29jYGJMmTYK/v7/WBjWAkoGNsbExPn36VG66vLw8hX+1mJmZia3IXJKfnx/evHmDhQsXVsqNoFq1aqhWrRr4fD6NjiIqZ2hoqNUXB0KI/invmiPPNUnbr1tKBTZNmjRBbGwsPnz4IDPAyMnJQWxsrMIdh7WRsbGx1n+QhJDKMat9TZgYfv7BVrLzcGExi3XRbzRZNEIU4u3tDW9v73LTpaSkVEJpVEfxXj8AvLy88OnTJ0yfPh2ZmZkS+zMzMzFjxgzk5eVh4MCBFS4kIYSUZGZmBldXV7i6upbZ5CNvOkWYGDKif6ZGBjA1MhA9JoRonlI1NiNGjMCJEyfw33//oW/fvujWrRvq1asHhmHw/PlzXL58Gfn5+WjdujW++eYblRW2vPUsCCFfBoZhsGPHDtHfFU1HCNEfSgU2RkZG2LFjB5YvX44jR47g9OnTYvsNDQ3h7e2NBQsWUBMOIUQt5A1UKKAh5Mui9Gxg5ubmWLFiBX744QdER0cjIyMDAFCnTh24u7vT2k6EEEIIqXQVnua0Zs2a8PLyUkVZCCGEEEIqRKnOw4QQQggh2qhCNTbR0dG4efMm3rx5I3MhLIZhsHLlyoochhBCCCFELkoFNh8/fsTkyZMRGxsrmsdBFgpsCCGEEO3Dsqxci1iamZnpVCd8pQKbtWvX4ubNm6hfvz6++eYbNGjQoNxFJQkhhBCiHViWhb+/PxISEspN6+rqih07duhMcKNUYHP+/HnUqFEDhw4dgrW1tYqLRAghhBB14vF4cgU1AHDnzh3weDy1LzarKko3RXXr1o2CGkIIIUTHRUVFSQ1a8vPz4enpqYESVYxSgU39+vWRlZWl6rIQQgghpJKZm5urpDaGFRQptU/VlAps/Pz8sHTpUqSkpIDL5aq6TIQQQgjRMZ8eHtF0EQAoOY+Nr68vxowZg4CAAEREROD169eqLhchhBBCiMKUqrFxcnIC8LlX9YIFC8pMyzAMkpKSlDkMIYQQQnRElaZDwBhIDytYQVGl1egoFdjUqVNH1eUghBBCiA5jDIxkBjaVSenh3oQQQgjRTWZmZnB1dRX9rWwabaT50IoQQgghlYphGOzYsUP0t7JptJFKFsEsLCxEZmYm3r9/r4rsCCGkXDExMZgwYQJiYmI0XRRCdBLDMOUGLPKk0TYVCmz279+PwYMHo1WrVujevTtWr14t2nfixAkEBgbi2bNnFS0jIYSI4fF42Lx5M968eYPNmzfLtd4NIeTLoFRgU1RUhEmTJmHZsmV4+vQpGjduLLEYZuPGjXH27FmcOHFCJQUlhBCh8PBw0SShWVlZCA8P13CJCCHaQqnAZs+ePbh48SJ69OiBCxcu4NixYxJpuFwuHB0dcfny5QoXkhBChNLT0xEeHi76McWyLMLDw5Genq7hkhFCtIFSgc2RI0dQs2ZN/P7776hevbrMdHXr1qWLDSFEZViWxZ9//ilRQyxrOyHky6NUYPP8+XO4urqWO/zLxsYG2dnZShWMEEJKS01NRXx8PAQCgdh2gUCA+Ph4pKamaqhkhBBtoVRgY2Jigry8vHLTpaeno2rVqsocghBCJDg6OqJ169YwMBC/dBkYGKBNmzZwdHTUUMkIIdpCqcCGw+EgMTGxzNqY9PR0JCUlwdnZWenCEUJISQzDYNKkSRLDT2VtJ4R8eZQKbHx8fPDx40fMnj0bOTk5Evs/ffqEhQsXgs/nw9fXt8KFJIQQIXt7e/j4+IiCGIZh4OPjQ0u9EEIAKDnz8NChQ3Hx4kWcPn0avXr1gpubGwAgPj4e06ZNQ3R0NHJycuDl5YU+ffqotMCEEOLj44OzZ8/i3bt3sLW1hY+Pj6aLRAjREkpP0PfHH39g5syZMDY2xqVLlwAAz549Q1RUFAQCAaZPn461a9eqrKCEECJkZmaGyZMno2bNmpg8ebJOrWNDCFEvpdeKYhgGAQEBmDBhApKSkpCWlgaBQIBatWqhZcuWMDExUWU5CSFEjLu7O9zd3TVdDEKIlqnwIpiGhoZo2bIlWrZsqYryEEIIIYQoTSWLYBJCCCGEaAOlamyCgoLkTsswDFauXKnMYQghhBBCFKJUYBMZGVluGoZhwLIsBTaEEEKIFmFZFgUFBaIlSBiGgampqd7MA6VUYLNnzx6p2wUCAV69eoUrV67g5MmTGDduHHr27FmhAhJCCCFENViWxdy5c5GcnCy23cnJCatXr9aL4EapwKa8kQhDhgxBt27dsGDBAnh4eChVMEIIIYQQRamt8/DgwYPRpEkTbNy4UV2HIIQQQogCGIbB6tWrERISItoWEhKiN7U1gJpHRdWvXx93795V5yEIIYQQogCGYcQmtTQzM9OboAZQwTw2sggEAqSkpEiswksIIYSQyiPsLFwSj8eT+jcAne9IrPLAJj8/H8+ePcPWrVvx/Plz9OjRQ9WHIIQQQoicCgoKylyQ2s/PT+xxWFiYTi9TolRg4+TkVG4almVha2uLOXPmKHMIQgghhBCFKRXY1KlTR+Y+Y2Nj2NnZoV27dhg1ahSqV6+udOEIIYQQojpVmg4BY/D51l9yHhtWUIRPD49osGSqo1Rgc/78eVWXgxBCCCFqxhgYiQIb3e1FUzbq2UsIIYQQvUGBDSGEEEL0hlJNUcHBwUofkGEYTJkyRennE0IIIYTIonRgU3qMe8lOSKW3lUSBDSGEEKJ/WEHR//4uFROU3KduSgU2v/zyC+Lj4xEaGgp7e3v07dtXNFIqIyMDp0+fRnp6OoYPH47WrVurtMCEEEII0T7aMqpKqcCmYcOG+PnnnzF58mRMmTIFhoaGYvtnzZqFzZs3Y9u2bRg6dCgFN4SQCik5c6q0WVQB8dlSdX3mVEKI8pQKbDZs2ICGDRti2rRpUvcbGhpi6tSpOHPmDDZu3IidO3dWqJCEkC9beTOnlqbrM6cSoitMTU0RFhYmto3H44lmMw4JCZH4Lpqamqq1TEoFNgkJCejevXu56Zo2bYpLly4pcwhCCCGEaLnSC2qWZmZmVuk/MpReK+rp06cqSSPNhw8fsGHDBiQkJCA1NRUfPnxAjRo10LRpU4wfPx6dOnVSKl9CCCGE6Del5rFxc3NDcnIyduzYITPNX3/9haSkJLi5uSmcf3Z2Ng4fPowqVaqgT58+mDBhAjp06ID4+HiMHz8e27ZtU6bYhBBCCNFzStXYzJgxAzExMfj1118RERGBvn37wt7eHgCQnp6OqKgoPHnyBObm5pgxY4bC+Ts6OuLmzZswMhIvXmZmJoYOHYqNGzdi1KhRqFKlijLFJ4TosJJr3ZSkT2vdEEKUp1Rg06xZM+zatQvz5s3DkydPsGXLlv+NVf//sesNGjTAqlWr0KxZM4XzLz3KSsjOzg6tW7fGmTNn8Pr1azRq1EiZ4hNCdFjJtW4IIaQ0pa8Orq6uOHHiBKKjoxEXF4fMzEywLAs7Ozu4ubmhQ4cOKh9u+f79eyQkJMDS0hIODg4qzZsQQgghuq9CP3sYhkGHDh3QoUMHVZVHzLt377B//34IBAK8efMG586dw8ePH/HLL79UaLgYy7LIy8tTYUkJIerE4/EUSp+XlweBQKA3xyekIir7/C15PFV+F1iWlavCRCX1uYWFhXj//j1MTExgbW2tiiwBfA5sSq5LZWFhgVWrVsHLy6tC+fL5fCQnJ1e0eISQSlJYWCj6Wzg1e1lTtqekpMDExEQtx5eHqo9PSEVU9vlb8niq/i7Ik1eFApv9+/fj0KFDePjwIViWxZAhQ/DLL78AAE6cOIETJ05g1qxZaNCggVL5czgcpKSkoKioCOnp6QgLC8OsWbNw7949zJ07V+lyGxsbo0mTJko/nxBSuUr+ApSngzCXy1Xp3BmK/uJV9fEJqYjKPn9LHk+V34VHjx7JlU6pwKaoqAiBgYG4dOkSjI2N0bhxYzx8+FAsTePGjXH27Fk0b94ckydPVuYw/yukkRHq1auHmTNnIi8vDzt37kS3bt3QsWNHpfJjGAYWFhYVKhMhpPIYGCg2M4WFhYVKAwtNH5+Qiih5/spajLLk9oqevyWPp8rvgrz9dpWax2bPnj24ePEievTogQsXLuDYsWMSabhcLhwdHXH58mVlDiGTcHK+mzdvqjRfQoj2Ek7bHhoaCi6XKzUNl8tFaGgowsLC1D5lOyG66tPDI8hNCZf4p6qpEliWFaux4fF4ombjyqJUjc2RI0dQs2ZN/P7772VGYnXr1sXjx4+VLpw0r1+/BiB7SDghRP8Ip21nWVZm7YmBgQHMzMxo8UtCNIRlWcydO1esD6ufnx+cnJywevXqSvtuKhXYPH/+HF27di23esnGxgbZ2dkK55+cnIy6devC0tJSbHtGRga2b98OAOjatavC+RJCdBvDMFi9ejUKCgokOg/Tit6ElO9LmOBSqcDGxMREruHS6enpqFq1qsL5R0REIDw8HO3bt4ejoyOMjY2RmpqKixcvorCwEBMnToSLi4syRSeE6LjyFt0jhMimzgkuZf3wqOwfHUq9Og6Hg8TERGRnZ8PGxkZqmvT0dCQlJSk1x03fvn2Rm5uL+Ph4xMTEoKCgADY2NujatStGjBgh18rihBBCCKlc2vDDQ6nAxsfHB0FBQZg9ezZ+/fVXWFlZie3/9OkTFi5cCD6fD19fX4Xzb9u2Ldq2batM0QghhBDyBVMqsBk6dCguXryI06dPo1evXqIVvOPj4zFt2jRER0cjJycHXl5e6NOnj0oLTAghhBAii1LDvQHgjz/+wMyZM2FsbIxLly4BAJ49e4aoqCgIBAJMnz4da9euVVlBCSGEEELKo3QPIoZhEBAQgAkTJiApKQlpaWkQCASoVasWWrZsSdOJE0IIIaTSKRXYuLu7g8PhYO/evTA0NETLli3RsmVLVZeNEEIIIUQhSjVFFRUVoVatWqouCyGEEEJIhSgV2DRt2hSZmZmqLgshhBBCSIUoFdiMHj0acXFxiI2NVXV5CCGEEEKUplQfGzc3N/j4+GDixInw8fGBh4cH6tSpI3PhOXt7+woVkhBCCCFEHkoFNh4eHmAYBizLYt++fdi3b5/MtAzDICkpSekCEkIIIYTIS6nApl27dqouByGEEEJIhSkV2ISEhKi6HIQQopCYmBj8+eefmDRpEtzd3TVdHEJ0Aiso+t/fJRaqLLld18kV2AQFBYn61RBCiKbxeDxs3rwZ7969w+bNm+Hi4qLxhfcI0QWfHh7RdBHUTq5RUZGRkYiLi5O6z93dHcuWLVNpoQghpCzh4eHIysoCAGRlZSE8PFzDJSKEaAull1QQ+vDhA/Ly8lRRFkIIKVd6ejrCw8NF1egsyyI8PBweHh40ApMQKUxNTREWFia2jcfjwc/PD8Dn7iUlazxljXDWFUovgkkIIZWNZVn8+eefoqCmvO3qUFjMyvxHiDZiGAZmZmYS/4RKb2cYRoOlrbgK19gQQkhlSU1NRXx8vMR2gUCA+Ph4pKamom7dumotw7roN2rNnxBSMVRjQwjRGY6OjmjdujUMDMQvXQYGBmjTpg0cHR01VDJCiLagGhtCiM5gGAaTJk3C5MmTpW6vjCr0We1rwsRQ8jiFxSzV5hCdwLIseDye6DGPx4OpqanON0EJyR3YnD59GjExMRLbGYaRuU+4/+zZs8qXkBBCSrC3t4ePjw9CQ0PBsiwYhoGPjw/q1KlTKcc3MWSkBjaE6AKWZTF37lwkJyeLtvn5+cHJyQmrV6/Wi+BG7sAmLy9P5uinsvbpw5tECNEuPj4+OHv2LN69ewdbW1uaY4sQIiJXYHPu3Dl1l4MQQuRmZmaGyZMni2Yepsn5CJEPwzBYvXo1CgoKxGYe/uKaohwcHNRdDkIIUYi7uzstpUCIEoTDv/UVjYoihBBCiN6gwIYQQggheoMCG0IIIYToDQpsCCGEEKI3KLAhhBBCiN6gwIYQQggheoMCG0IIIYToDQpsCCGEEKI3lFoE88iRI3KlMzY2hrW1NZo1a4bq1asrcyhCCCGEELkpFdjMmzdP4amXO3bsiAULFqBx48bKHJIoKCIiApGRkQgJCSkzHZfLxblz5+Do6FhJJSOEEELUR6nAZsqUKUhLS8ORI0dQpUoVdO7cGfb29mBZFhkZGbh+/Tpyc3MxePBgmJiY4Pbt27h+/TpGjx6Nw4cPw97eXtWvgwDg8/kwNjYucz+ActOUtZ8QQgjRZkoFNoMGDYKvry+GDx+OOXPmwNLSUmx/bm4u1q5di5MnTyI0NBT169fHunXr8Ndff2Hbtm1YvHixKspOSnjy5An8/f0xf/589OnTR2xfWloaFi9ejObNm+PWrVto0aIFpk2bBgsLC1EaPp+PnTt34ujRozh69CgFN4QQQnSSUp2Hf/31V9jY2GDJkiUSQQ0AWFpaYvHixbCxscGvv/4KhmEwY8YM2NnZ4erVqxUuNJFUr149+Pv7Y+HChQgMDERmZiaKi4uxa9cueHl5oWrVqhgxYgRmz56N27dvw8vLC5cuXQIAJCQkwNvbG5GRkZg1axYFNYQQQnSWUjU20dHR6NKlS5n9bBiGgbOzsyiQMTIyQrNmzXDjxg3lSkrKZGRkhNGjR2PgwIHYuHEjgoODwefzUVxcjL///hutWrUCANjb2+PgwYM4duyYqOZsyZIlmDJlCkaOHAkjI6VOCUIIIUQrKFVjU1hYiFevXpWb7tWrVygsLBQ9Njc3p9oANWMYBoaGhmKPDQwkP+aSaYSPFe0QTgghhGgbpQIbYV+NqKgomWmioqIQFxeHFi1aiLalp6ejRo0ayhySlKO4uBgHDhyAp6cnUlNTERgYCDc3N/Tt2xdjx47F3Llz8fr1a9y9exfffPMN1q1bJ6qxWbRoEQ4ePIjBgwfj2rVrmn0hhBBCSAUo1e4QGBgIf39/TJ8+HV27dkXfvn1Rp04dMAyD9PR0nD59GleuXIGhoSGmTJkCAMjKykJSUhIGDx6s0hdAPnv+/Dm2bduGpUuXwtPTExERETA0NMT48ePRp08fLFmyBPv27UN8fDxcXFwwffp0UedhFxcXRERE4K+//sKyZctw7NgxqlkjhBCik5QKbDp27Ijff/8dP//8My5fvowrV66I7WdZFlZWVli8eDE6duwI4POom7Vr14rV4BDVadSoEaKioqQGJI6Ojti+fXuZw72NjY0xadIk+Pv7U1BDCCFEZyndU7Rv377o3LkzTp48ifj4eGRmZgIAatasiTZt2qBfv36oWrWqKH2tWrXw1VdfVbzERKbyAhJ5AhYKagghhOiyCg2BsbS0hK+vL3x9fVVVHqIi3t7e8Pb2LjddSkpKJZSGEEIIqRy0CCYhhBBC9EaFamzy8/Nx9+5dvHnzRmxYd2lDhgypyGEIIYQQQuSidGCzfv167Nq1CzweT2YalmXBMAwFNoQQQgipFEoFNtu3b8eWLVtgZGSEHj16oEGDBqhSpYqqy0YIIYQQohClApuwsDCYmZlh3759NHybEEIIIVpDqc7DGRkZaNeuHQU1hBBCCNEqSgU2NWvWVHU5CCGEEEIqTKnA5quvvkJCQgJycnJUXR5CCCGEEKUp1cdm6tSpiI+PR2BgIFasWIF69eqptFCvX7/GyZMncfHiRTx9+hTv3r2DjY0N3N3d8d1334HD4aj0ePqIZdkyR6wJmZmZ0areRO+wLIuCggLR38Dnle5NTU3pfCdEzykV2AQEBEAgEODWrVvo378/HBwcUKtWLakXDIZhsHv3boXyDwkJwfbt29GgQQN069YNVlZWePjwIf79919ERUVh+/bt6NChgzJF/yKwLAt/f38kJCSUm9bV1RU7duygiz3RGyzLYu7cuUhOTpbY5+TkhNWrV9P5TogeUyqwiYmJEf1dXFyMFy9e4MWLF1LTKnMBcXFxwb59+9C2bVux7SdPnsQPP/yAxYsX49SpUwrn+6Xg8XhyBTUAcOfOHfB4PJibm6u5VIQQQoj6KRXYnDt3TtXlEOPp6Sl1e//+/fHHH3/g6dOnyMrKgq2trVrLoQ+ioqKkBi35+fky32dCdBnDMFi9ejUKCgrA4/Hg5+cH4HNNsJWVFdXWEKLnlApsHBwcVF0OuQlXnzYyqtBqEF8Mc3Nzqo0hXxyGYWBmZia2jfqTEfJl0Kno4O7du3j48CGcnZ1RrVo1pfNhWRZ5eXkqLJl2yc/PF/2dl5cn6jypaBpCdF3JDvR5eXkQCAQVzkceFTkWIUQ64TJN5dGZwObTp08ICgoCwzCYNWtWhfLi8/lSOxbqC+FoEABISUmBqampUmkI0XUlF+dNSUmBiYlJhfORR0WORQiRTZ7vlVyBTbNmzWBgYIB///0XDRs2hJOTk9yFYBgGSUlJcqeXprCwENOnT8eDBw8wdepUdOzYsUL5GRsbo0mTJhXKQ5uVrI3hcrky+9iUl4YQXVeypoXL5Uo0TymTjzwqcixCiHSPHj2SK51cgY29vf3nxP/fr6VOnTpKFktxRUVFmDFjBq5cuYIJEyYgMDCwwnkyDAMLCwsVlE47layqs7CwkBq0yJOGEF1nYPC/OUgtLCyUDjZK5iOPihyLECKdvH3k5Apszp8/X+ZjdSkqKsKPP/6Is2fPws/PD3Pnzq2U4+o6MzMzuLq6iv5WNg0hhBCia7S2j01xcTHmzJmD06dP4+uvv8bChQs1XSSdwTAMduzYIfpb2TSEEEKIrlFqraigoCCEh4eXmy4iIgJBQUEK5y8QCDBv3jz8+++/8PHxweLFi5Uo5ZeNYZhyAxZ50hBCCCG6RKkam8jISACAj49Pmelu3bqFI0eO4JdfflEo/+DgYPzzzz+oVq0a7OzsEBwcLJFm6NChcHR0VChfQgghhOg3tTZF8fl8GBoaKvy89PR0AMCHDx+wefNmqWnc3d0psCGEEEKIGLUFNizLIikpCTY2Ngo/d9WqVVi1apUaSkUIIYQQfSZ3YDNmzBixx1euXJHYJiRcGPPt27cYPHhwxUpICCGEECInuQObkit6MwyDt2/f4u3bt7IzNjJCjx49MGfOnIqVkBBCCCFETnIHNsIVvVmWRe/evdG3b1+ZQYuxsTFsbGxEC1YSQoi6sSwrtlQIID5jcOnZg01NTWlUICF6SO7ApuSK3oGBgXByctLoKt+EEFJSQUEBfH19Ze738/MTexwWFkaTUxKih5TqPKyKZQ0IIYQQQlRNa2ceJoQQZc1qXxMmhp+bmViWBfC5b2BhMYt10W80WTRCvnjCZuOS301Adc3DOrG6NyGEKMLEkBEFNgD1oyFEW7Asi7lz5yI5OVlin5OTE1avXl3h4EbrV/cmhBBCCJGXVq/uTQghhBD9wTAMVq9ejZycHFGH/pCQEJiZmVVuUxQhhBBCiCowDCM2ItHMzEylIxSVWt2bEEIIIUQbyVVjc/PmzQodpF27dhV6PlEtaT3SabIyQggh+kCuwMbPz69CNz1pvZ+JZsjqka6q3uiEEEKIJskV2AwZMkTihpednY2LFy+CYRg4OTmJRk6lp6fj/v37YFkW3bt3V2p1b0IIIYQQZcgV2KxatUrscWZmJkaMGIHOnTtj4cKFaNiwodj+p0+fYsWKFUhJScGhQ4dUV1pSYbJ6pFtZWVFtDSGEEJ2nVOfhX3/9FcXFxdi8ebNEUAMADRs2RHBwMIqLi7Fu3boKF5KolrQe6RTUEEII0QdKBTZXr15F27ZtYWpqKjONmZkZ2rZti6tXrypdOEIIIYQQRSgV2OTm5iI7O7vcdNnZ2fj06ZMyhyCEEEIIUZhSgU3Tpk1x8+ZNxMbGykwTGxuLmJgYNG3aVOnCEUIIIYQoQqmZhwMCAjB9+nT4+/tjyJAh6NevH+zt7cEwDNLS0nDq1CkcPXoUAoEAAQEBqi4zIYQQQohUSgU2ffv2xcKFC7FmzRocOnQIoaGhYvtZloWxsTHmzZuHvn37qqSghBBCCCHlUXqtqNGjR6Nnz54IDw/HrVu3kJmZCZZlYWdnBzc3N3h7e6Nu3bqqLCshhBBCKoEuz1BfoUUwHRwcMH36dFWVhRBCCCEapusz1NMimIQQogUiIiJEk2YSIiTvecHlcpGamloJJdJ+cgU2wcHBOHfunNR99+/fx6tXr6TuCwkJQWBgoPKlI4QQPcbn8yu0n+gnec4LdZ47whnqQ0JCRNtCQkJ0orYGUCCwOXv2rNR9Q4cOxYYNG6TuS0pKkhkQEULIl+zJkyfw9PTEmTNnJPalpaUhICAAwcHBGigZ0SR5z4sJEyZg1apVyMvLE0vD5/OxdetWDB48uMLBja7OUF/hpiiWZUWdiwghhMinXr168Pf3x8KFCxEYGIjMzEwUFxdj165d8PLyQtWqVTFixAhNF5NUMnnPi9mzZ+P27dvw8vLCpUuXAAAJCQnw9vZGZGQkZs2aBWNjYw2/Gs2oUOdhQgghyjEyMsLo0aMxcOBAbNy4EcHBweDz+SguLsbff/+NVq1aabqIRAPkPS/s7e1x8OBBHDt2DIsXLwYALFmyBFOmTMHIkSNhZPTl3t6p8zAhhGgQwzAwNDQUe2xgQJfmL52850XJNMLHutJkpC707SGEEA0oLi7GgQMH4OnpidTUVAQGBsLNzQ19+/bF2LFjMXfuXLx+/VrTxSSVTN7z4u7du/jmm2+wbt06UY3NokWLcPDgQQwePBjXrl3T7AvRIApsCCFEA54/f45t27Zh6dKl2LRpE+zs7GBoaIjx48fj2LFjyMrKwr59+zRdTFLJ5D0vVq9eDRcXFxw/fhzdu3cHALi4uCAiIgJeXl5YtmyZwp2HWZYFj8cT+ydUejuPx9Pa/rVfbiMcIYRoUKNGjRAVFSW1g6ejoyO2b99Ow72/QIqcF9LSGBsbY9KkSfD391e483BBQQF8fX2l7pM2l05YWJjYyCltIXdgc/r0acTExEhsZxhG5r7s7OyKlY6ojHB6bKHSkXhpujJ1NiG6rLwbz5c6quVLp4rz4ks+d+QObPLy8iTGy8uzj26O2kFfInFC9JW3tze8vb01XQyiZeQ9L1JSUlR63Fnta8LEkBFbKwoACotZrIt+o9JjqZpcgQ1NskcIIYR8OUwMGZgYMgB0r3JCrsDGwcFB3eUglUiXI3FCCCGkLNR5+Auky5E4IYQQUha5hnsXFRWp5GCqyocQQgghRBq5AhtPT0+EhoYqHZjw+XzRhEOEEKLLCotZ0b+CIgEKigSix4QQ6Spzjhy5mqIcHR3x888/Y8OGDRgwYAC8vLzQsmXLMp8jEAhw584dHD9+HCdPnkRWVhbat2+vdEEJIUQbUD80QhRXmSNz5Qps9uzZg4sXL+K3337D7t27sWfPHpibm6NFixZo2LAhrKysUKVKFeTm5iInJwdPnjxBUlKSKOpycnLCL7/8IpodkRBCCCFEHeTuPNyjRw/06NEDcXFxCA8Px+XLl3Hz5k3cvHlTavrq1aujX79+GD58OFq3bq2yAhNCSGUzNTVFWFiY2DYejyf6pRkSEiL269LU1LRSy0eILlH3yFyFR0W5ubnBzc0NAPDkyROkpKQgKysLHz9+RNWqVWFra4tmzZqhYcOGFS4cIYQoQ1Z/F2X7wTAMU2a1uJmZmULV5sL+BuUxMzOjSU6/cPp4rqh7ZG6Fhns3atQIjRo1UlVZCCFEJbS5HwzLsvD390dCQkK5aV1dXbFjxw6duWER1aJzRTm0ujchhFQiHo8n140KAO7cuSPXr3Win+hcUQ5N0EcI0TvCNvzStG127aioKJibm0tsz8/Pp+kxiBg6V+SnVGDTq1cvudIZGxvD2toaTk5O8PLyEvXNIYQQdfpfG752Mzc3l3qzIqQ0Olfkp1Rgk5aWplD627dv4+DBg/jmm2/w888/K3NIQgghhJByKdXH5v79+/Dz84OVlRWmTJmCY8eOITY2FrGxsTh27BimTJkCKysrjB49GpcuXcJvv/2G2rVr48CBAzh69KiqXwMhhBBCCAAla2xCQkJw6NAhhIeHg8PhiO1r2rQpmjZtir59+8LHxwd169bF2LFj0bhxY3h7eyM8PByDBw8u9xhHjx5FXFwc7t69iwcPHoDP52PTpk3o3bu3MkUmhBBCyBdAqcDm4MGD6NChg0RQUxKHw0GHDh1w6NAhjB07FlwuF87OzkhJSZHrGOvXr0daWhpsbW1Ro0YNZGRkKFNUQgjRKmZmZnB1dRX9rWwaQoh0SgU2qampaNq0abnpLCwskJqaKnrs4OCApKQkuY6xfPlyNGjQAPb29ti4cSOCg4OVKSohhGgVhmGwY8cO0d/KpiH6j4Jg5SgV2NjY2ODmzZvIy8uDhYWF1DSfPn1CTEwMbG1tRdtycnJgZWUl1zE6deqkTNEIIUTryROsUEBDKAhWjlKdh/v37493795h4sSJUicPSkhIwLfffovs7Gz0798fwOcZFB88eIAGDRpUqMCEEELIl4JhmHIDFnnSfEmUqrGZOnUqYmNjcevWLYwYMQK1a9dG7dq1wTAMMjIy8OrVK7AsC2dnZwQGBgIAUlJSYGlpia+++kqlL0AZLMsiLy9P08WoVIrOSJmXlweBQKCm0hCiepV9jpc8Hn1fSGn//PMP/vnnH1Ftii5Q53dIFXmzLCtXAKdUYGNhYYF9+/Zhx44dCA0NRUZGhljnXjs7O4wYMQITJ04UrXLbrFkznDx5UpnDqRyfz0dycrKmi1GpCgsL//e3HAsEpqSkwMTERO3lIkRVSp7j8qjoOV7yePR9IQBQVFQEI6PPt9X09HTk5eWJ3WtK7tdG6vwOqSpveY6n9DtsYmKCyZMnY/LkycjIyEBmZiYAoGbNmrC3t1c220phbGyMJk2aaLoYlapktCzPlPJcLpc6ohGdougvwoqe4yWPR98X8uzZM3z//feYPXs2PDw88PDhQ1hYWMDJyQnp6elYuXIlnJycMGXKFE0XVSZ1fodUkfejR4/keq5KQsc6deqgTp06qsiqUjAMI7PTs74yMFCsO5WFhQVdqIlOqexzvOTx6PtCOBwOAgICsGzZMpw6dQrOzs4AgNDQUKxfvx49e/bEqFGjtPreo87vkCrylrcfUYUDm8zMTMTHxyMzMxMMw6BmzZpo3bo17OzsKpo1URNdWSCQEELUJSIiApGRkQgJCVFJfkZGRhg9ejQGDhwomqKEz+ejuLgYf//9N1q1aqWS45DyKR3YZGVlYdmyZYiKipLo4GNgYABPT0/89NNPYsO99YWqvxCVTVcWCCSEEFXi8/kwNjZWer88GIaBoaGh2GNFaytIxSj1bn/8+BGjRo3CyZMnYWxsDA8PD/j5+cHPzw+9evWCiYkJTp48iVGjRuHjx4+qLrNG8Pn8Cu0nhBCiOU+ePIGnpyfOnDkjsS8tLQ0BAQEVmgi2uLgYBw4cgKenJ1JTUxEYGAg3Nzf07dsXY8eOxdy5c/H69euKvAQiJ6UCm23btuHp06fo168fzp8/j02bNmH+/PmYP38+goODce7cOfTv3x9Pnz7F9u3blSpYWFgY5s2bh3nz5uHs2bMAgD179oi2xcbGKpWvMtT9hSCEEKJe9erVg7+/PxYuXIjAwEBkZmaiuLgYu3btgpeXF6pWrYoRI0Yonf/z58+xbds2LF26FJs2bYKdnR0MDQ0xfvx4HDt2DFlZWdi3b58KXxGRRammqDNnzqBOnTpYu3at1Go7W1tbrFmzBrdv38bp06fx448/KnyMuLg4REZGim2Ljo4W/e3u7o62bdsqXngllPxCHD16FM7OzqIvhLBTmDJfCHmbtLhcLs6dOwdHR0dlXwIhhHzR1N0HplGjRoiKipJ6T3R0dMT27dupZr+SKBXYpKeno0+fPmW2RRobG6NNmzZSaznksWrVKqxatUqp56qaKr8Q8rTxAlB7OzAhhHyJ1NkHprzrMl23K4dSn6aZmRmys7PLTZedna1XQyAr+oWQt0lrwoQJWLVqlcTsyHw+H1u3bsXgwYMp8ieEEAVUdh8Yb29vnR1gouuUCmxatGiBmJgY3L17V2aau3fvIiYmRjSWX5ep6gshbxvv7Nmzcfv2bXh5eeHSpUsAPq+/5e3tjcjISMyaNYsif0KIVoiIiICfn5+mi1Eu6gPz5VAqsBk3bhyKioowbtw4BAcH49mzZygsLERhYSGePXuGjRs3Yvz48SguLsbYsWNVXeZKp6ovhLBJKyoqCrVr10ZwcDDi4uJw8uRJ/P333/jtt99gb28PFxcXHDx4EDNmzMDixYsBAEuWLIGvry+OHz8ODw8PNb9i7aIrF04iSd7PjsvlIjU1tRJKRFRBF0eJCvvAeHp6SuwT9oGZOnWqBkr25SksZmX+UwWl+th0794dM2bMwPr167Fp0yZs2rRJNCMgy34uGMMw+OGHH9C9e3eVFFSTVN0pTN4mrZJphI+/lBVcK2O+CaIe2tCPrOQFsuQ1SVUXzi/ZkydP4O/vj/nz56NPnz5i+9LS0rB48WI0b94cM2bM0FAJZaM+MNpB3RPBKt1j6rvvvsOhQ4cwaNAgODg4wMjICEZGRnBwcMDgwYNx8OBBfPfdd6osq0ap4gshb5PW3bt38c0332DdunWiGptFixbh4MGDGDx4MK5du6aKl6S1KnN4vS7XBmlj2bWlH9m66DdYeT0TK69n4pf/3uCX/z4/1uTM2izLgsfjgcfjIT8/H/n5+eDxeKLAS1eoe9h0Seo8x7W5D4y+nCuaUqElFVq2bInVq1erqiw6w9vbG97e3go/r2STlqenJyIiIkRNWn369MGSJUuwb98+xMfHw8XFBdOnTxetK+Li4oKIiAj89ddfWLZsGY4dO6ZVvy5UORuzuobXC+lybZC2l13ez65Xr15YuXIlvLy8sGjRIgCf+5Ft2bIFfD4fc+bM0drPQBksy2Lu3LliKz0LOTk5YfXq1TpTG6vuYdPafo6rmz6dK7Koe1kf7V0/XQ8p0qQlLY2xsTEmTZoEf39/rfhiq+sCpM4LZ2VXo6sy4NOFJgB5Pzt7e3scPHgQx44dE+tHNmXKFIwcORJGRopfmkxNTREWFia2jcfjiX7xh4SEiI3SNDU1Ve5F6iB1LAOjjmHTunCOk4pT97I+tIBFJZOnSasizV7CKkx1V19WRnOROi6clVGNrq6OlbrUBKCJfmQMw8DMzEzin1Dp7ZX5q5dhGKxevRphYWFiwUVISIjafoGr6zxU57DpyjzHtZUmzhV9I9fPol69eil9AIZhREsiEHHyNmmlpKTIlZ+sKkwnJycsWbJEqTLKos7mouLiYoSGhmL9+vVwc3NDYGAgLl++jD59+mDs2LHw9PTEjz/+iFq1aimct7qr0dX5i1MXmgDk/ezevHmDFStW4PXr11i8eDG+/fZbLFq0CFu2bMGBAwcQFBSEzp07V+j1aBth4FWSugIsdZ6H8japKzPjPK2Q/Vllniv6SK7AJi0tTd3lIDpGnRcgdV44hdQ1+6i6+wcJy6qtTQD63I9Ml6jzPKyMpQN0aYVsYS25PHQpOJE1glAXRhbKFdjcv39f3eUgKiCswszJyRHrV2BlZYWCggK1HVPVFyB1XjjVWRsEqDfgU2fZVXUj1Ld+ZLpK3TUf6ho2re7vp6qxLAt/f38kJCTIld7V1RU7duzQieBGkyMIK0o7Q2CitNJVmOr6haDu6cnVdeGsrNlH1RHwqbPs8k4eKQ919yMj8quMmg9VDpvWtdmBeTye3EENANy5c0fu2h2iPBoV9QUSViWWnLis5HZ5VEZzkZCyw+ulUXc1ujp/cepiE4Cq+5ER+ehazYeQLq+QHRUVBXNzc6n78vPzpc54rM3UPSRbnSiw+QKp4qTU5QuQOmsL1B3wUROAbmFZVqIZuOQv9tK/3k1NTVVSw1qZPzxUTR3neGX0gzE3N5cZ2OgidQ/JVicKbMqgr53CVEUfmhNUWRsEVG7Ap8qy6/KNUJsVFBTA19dX5v7SQ+rDwsIkRsMoQ5d/eJSkinNcn/vBEOkosJFB374MJScvY1kWOTk5CAgIAABs374dVlZWYmVXdPIyVQcIukwXAz59uRGS/9HF81AdlO0Ho0+1L18aCmxk0Lcvg7BTsbS5bgICAvRmqm5to0sBH90I1atK0yFgDD5fckv2b2MFRfj08Ihaj61L56E6aXM/GE01W+ojCmzkoK4vg7xNXV9iMxfRLLoRqh5jYCQKbOjbrBna3A9GU82W+ogCGzmo48ugSFOXKpu5hHPdFBQUiP1qpOifEEIUY2ZmBldXV9HfFU1HVIMCGw1RpKlL1c1c0qbrJoRol5iYGPz555+YNGkS3N3dNV0cIgXDMNixY4fo74qmE9Jks6U+oMBGC8hq6pKnmYvaZQnRPzweD5s3b8a7d++wefNmuLi4aMWPEWo+lyTv66zI4q5EMRTYaIGKNHXpW7ssXTj1iz5+nsIfE6V/QKjyR0N4eDiysrIAAFlZWQgPD8fo0aNVkreyNNV8XlG62FxEtTIVQ4EN0RrqvnDSvESVS1dvhGWRNqoQ+PwDQlUjC9PT0xEeHi5qgmBZFuHh4fDw8JB7WQt10GTzeUWoq7mIaC8KbGTQxShf19tl1Xnh1PV5iXSx5kNXb4TqwgqKyt3Osiz+/PNP0fe39PYlS5ZoxedbkeZzWdR5jqu7uUjVSl7LS9KVa7mmUWAjgy5G+ZU1nLQybrKqvnBWxrxE6npf9KHmQx03Qk0oOaoQgEIjC+W5IaWlpSE+Pl5iu0AgQHx8PFJTU1G3bl3lCq9Cqh4pqg/nuCqVvJYTxdE7VwZdi/IrQ2VdgNQ534Q65iVS5/uiDzUf2jx/iKLUOarQwcEBrVu3xp07dyAQCETbDQwM0KpVKzg6OpabB9XukS8dBTYaIk8TljY1cwnpwwVIHTfZynpfdK0JgPyPRWMvmU3FeY+Pix5PmjQJkydPFnuucHt5778+1HzoS+0e0RwKbDREniYsbWrmkoYuQNKp832hJgDdJQxeymNvbw8fHx+EhoaCZVkwDAMfHx/UqVOn3OfSDw9CKLDRKHluENp8E6ELkHS69L7ow41QH/n4+ODs2bN49+4dbG1t4ePjo3Ae9MODfKkosCGEAFD9jVBXm1tVydTUFGFhYWBZFj/99BNSUlIk0nC5XCxbtkzUARn4/F5MnjxZNPOwMu+NqgNs+jyJqhQW/28qA+B/P+CF2yuKAhs9Is9wUm1GF07NUvWNUB+aWytK2NGYZVkYGBhITWNgYCC1/5K7u7tWLaVAn2flKT0FAPC//lj6YF30G7XmT4GNHtH1+Q3UeeHUxXmJhHQ54NP15lZVqcgwcW2irs9Tl89xddD1a7mmUWBDtIq6Lpy6OC+REP1S1g/yDhMXLtmgq8GPMugc13/CZlkhHo8nWvInJCRE4rshbJZVBgU2eqQyZqvU5V9W6pyXSN3vC9V86K+SC9nK6otTuh+OrM9a37+f+nyOl77xA2Xf/Cty49eEsgJ7MzMzlZ6LFNjokcqYrZJ+WUmnq++LLt8I9UV5C9kCQEpKCoYPHw6g7IVsdfU8JOXX6Kn65q9JpefOEv6tqppJCmyIwr70X1ay6OL7oq83wspYgVtb6eJ5qMtiYmJEo9e0qbO3tpK2kKywVkpVC8lSYEPIF07fboSVsQI3IcDnYHnz5s149+4dNm/eDBcXF72pVdFlFNjoEX0fIkgIIdokPDwcWVlZAICsrCyEh4dj9OjRGi6Vdis5QrD0PDbUFEUk0BBBQvRnaDXRbunp6QgPDxedXyzLIjw8HB4eHrC3t9dw6bSbOheSBQDpM0YRQogOE144zczMRBMP0iKeRBphR1Yej4f8/Hzk5+eDx+OJAhZZz/nzzz8l0sjaXpEyCZVXJvI/VGNTBl3oFKbvQwQJ0Xclv8PyDvcmqiGrPxZQdkfW1NRUxMfHS2wXCASIj49Hamoq6tatq9IyldVHTB33KnUve6BOFNjIoCudwkpX6ZUeRgeort2SEKJ6pb/Da9eu/eIm6NMVwtF2lpaWcHZ2xr1798RqURiGQYsWLWBpaQkejwcTExMUFhaKnitMo8rPU133KnUve6BOFNjIUF6nsNKTagGavwDJGkZHI0EI0R3CQEcXaox1Ren3suT1e8mSJaKpAQICAgAA27dvh5WVlSiN8Lpe3pxDLMvi7t27GDNmDIDPNW3SFj4t65qsaB8x6sAsiQIbKWR1CuvZsyeqV6+u0Eq9pU9CRQMiurgR8uXRlRpjXSDtvQRQZoAiDHCEypoUUR3k7Vyr6g7M5a1GX/L+JkyvjSiwKaWsTmFbtmzBnTt3ynx+WTOEKtqeq+jFTdYwOqrGJkS30K9w1ZH2Xvr4+FTKsWfNmgXg8+zSgYGBAIDg4GBUq1YNOTk5MDMzU/r6XF4H5iVLliicb8mASpebRCmwKaWsTmHlBTWqpszFTd3D6Agh6kXDiFVH1nvZuXNnpfIrr0YDADgcDh48eABAsuYHgCjAEVK2NkidHZgB3b6XUGBTiqOjI1q3bo07d+5AIBCIthsYGMDFxQW3b99WOM+S07sHBQWhoKCg3Ag+IyODLm6EfGHU8Su8smlL83lZ7+Vff/2lVJ7l1WgI8xfW2qtTWfeqVq1awdHRUe1l0FYU2JTCMAwmTZqEyZMnS2z39/fH1KlTFc6zvA5npSP40NBQnb+4KUtbLopENejzVIy6f4Wrmzb1DZK39n1a2xowMfxfUAJ8vt4XFrPYEPtWZv6yajRKj0pVpZJ9NAFg/PjxmDFjhkS5xo8fj4KCAp1pOlI1CmykqFOnDoYMGYKIiAiwLAuGYTBkyBDUqlVLlGaaW3VA2gnDstgQ965Cx09LS9Ppi5uytOmiSCqOPk/F6fqvcG3qGyRv7XtZwYsy5Gmuatq0KVasWKHwvETyrARfXFws+gFe2Z2etYVWzzwcGxuL8ePHw83NDa1bt4afnx+uX7+ulmMJ53/Jzs7GzJkzcfjwYbFmoMOHD2P+/Pmi9Bvi3mFD7FvJfxUMagCI5kgoHWkzDIOWLVuiRo0aejkDpbSLoibs3bsXgwcPxt69ezVyfGVpW7m15fPUJcIaY2nffWnbtYms/izp6elyPT8mJgYTJkxATEyMSspT1nvp7++vkmPIOq5wxuu1a9ciLCwMw4YNE5WDYRi0adOGZsNWI60NbK5cuYIxY8YgMTERXl5e8PHxwdOnTzFhwgRERUWp/HjCSHjMmDF4+PCh1DSPHj1S+XGlCQgIwN27d6U2RSUmJmL48OFi1ZHaRBgglpyaXJ6pwCt6UVSVnJwchIaGQiAQIDQ0FDk5OSrJV9r7osrgVF3lVpa2fJ66yN7eHj4+PmI3Qh8fH9SpU0fDJZOtoksMCGv33rx5g82bN1eoOafkcgQ2Njbw8vISey8HDhwIOzs7hISEYM+ePeByuVLz4XK5CA0NRVhYmNLDmhmGQVZWFo4cOULfhUqklU1RhYWF+Pnnn2FsbIwDBw6gadOmAD7f8IcMGYIlS5agS5cusLCw0FgZ9+zZIzXSLtmmKfwylJ4yXVpQwrKsaFInXSN8Tfn5+Vi2bJnUwLBp06b46aefYG5uLtHum52djY0bN4pVFwOfm942btyI6dOnw8zMTOZ7J8yvIkMnhVauXCl2AVq5ciVWr14tM72seYmEM44KAxhp70tZ74m6y61O+tABVtN8fHxw9uxZvHv3Dra2tnINTxaei6WH5wIQDV6Q9h0qee4Jv0PC55TOW9bzHj16VGbzeVJSElq0aCGx//379xAIBNi/fz/evftc2/3u3Tvs3btX9Jqtra2lvrbSZRAqq7mGZVkcOXIER44cEW2TFdgYGBhUuEaFvguaoZWBzX///Yf09HT4+vqKghoAsLOzw+jRo7F+/XpcuHABAwYM0FgZhdWI8ijdyczc3FwijTo7nFXU+/fvAci+uBUUFEgd1ljSw4cPRYFb6XZfWQGdcBbP8vIuqXTe79+/LzcgAj5fgGNjY5GUlCSWJikpCVevXkWXLl0knp+dnS0zkGvSpEm5NXxlvSfylhsAEhMTZZbb2dkZ1tbWYvuEn6dAIMDHjx/F9lWtWhUGBgawtraWWYaSxy+dt/DY5d3kHBwcpB6/dBm+VGZmZpg8ebKo43VZ1xrh5yQreJ4zZ47C3yGg7AnsFDVv3jwcO3ZMYrtwTbvSjh49iqNHjwL4/COyvB9MNjY2Spet5IRzqp6zRdWdwWldMfloZWBz8+ZNAECnTp0k9nXu3Bnr16/HzZs3VRrYyNPhS50njDafsLIuPrpAFWVfvXo1OnXqBAMD8ZbbsmrYKtpsqapyA5C4ociT97Fjx+ROV9q8efPKfE55+8vK+0vi7u4u10iysj6nhw8fKhTUaKOyvmfCHwcVOVfUOV+LqjuD07pi8tHKwObFixcAgPr160vsq1evnlgaZbAsi7y8PJn7hWuHSKv2ZFkWLMsiPz9f6ePLQ1oZKvP46pSXlyf2Jd+2bRtevXqFRYsWiVXZGhgYYOHChVi6dKnSeavKtWvX4ObmpvJ8hdRVbmHe6nqOMnmrugxEtZR53zds2IA//vgDT548EdtubW0tmlFdWr5LlizBokWLZOZb3n5pZWZZFrt37waPx8OaNWvw+PFjifSNGzfGnDlzYGZmhuLiYrWea+PGjcOPP/4oto1hGIwdO1bl13FdvzeURzhKuTwMq4XDayZMmIBr164hKipKIrjh8/lwdnaGi4uLqIZDEYmJiaLVVol8cnNzwbIs9u/fj4yMDLF9derUwTfffIOioiJYWlqCZVnw+XyJPIyNjUUnZMm/Szp//jyuXLkiOnm7du2Knj17ivJTJu+PHz9KLbew7CNHjgTDMCgqKsKWLVukNv2YmZlhzpw5EjU2Hz9+xIEDB6R2AhR2ALW0tJRZdlWUWyAQYNOmTTLLPXnyZFSrVk1se25uLoDP1eGlL4Lm5uYwMDCApaWlzDKUPL7w9ZXOXyAQ4OLFi7h165Zoe/v27dG1a1fRY2nHL10GUj7h5ynrHAP+19+vvPOw5HP4fL7YytSynmdiYiJ6Tl5eHrZs2YLc3FxUrVoVU6dOhYmJicyysyyLvXv34smTJxI/aho2bIjRo0fj06dP5X73ZZ0rwueV/pEq6xqkLtKubR4eHpV2fH1iYmKCli1blplGK2tsSp+EJaniZDQ2NkaTJk0qnM+Xpl27dmqt9mzUqBHu3r2LrKws2NjYYOLEiSppcpNWbkCyr4qlpSWWL18u8fzZs2dL7fhYMm9A9e3z8uZtYWEhs9zOzs4qKYMyr61Vq1b44YcfkJWVBVtbW0yZMuWLbfP/kkyePBk7d+7EhAkT4OrqWm76adOm4ccff0RxcbFoG8MwmDZtGmrXrq3OolYadV3bvjTyNvFrZWBTtWpVAJDasVC4TZhGGQzDaHRElS6rUqWK2vK2sLDAlClTRB0mK9IhsDR5yt2+fXs0b95crCNu8+bNy+3noM73RJ3lVmUZpFHn50m0V9euXcVq5srTqFEj+Pj4IDQ0VFSj4ePjg0aNGqmxlJWLvguqIe+PRa2cx0bYj+b58+cS+4R9a4RpiH5xd3fHzp07NTb9/vz580VfHgMDA7FJGbWZtpZb058n0Q0+Pj6wtbUFALmHt+sa+i5UHq0MbNq1awcAUmcZvnbtmlgaQlTJysoKw4cPh4GBAXx9fWFlZaXpIslFV8tNCPC//mA1a9bE5MmTv8hlAIjqaGXn4cLCQvTt21c0DbtwLpvMzEwMGTIEAHD27FmlmpMSExMBoNzOR4QQQgjRHvLev7Wyj42JiQmWLFmCSZMm4ZtvvsGAAQNgYmKCkydPIisrCxs2bKA+MoQQQgiRoJWBDQB069YNe/bsQXBwMP755x8AQIsWLbBmzRqpE/cRQgghhGhtYAMAbdu2xa5duzRdDEIIIYToCK3sPEwIIYQQogwKbAghhBCiNyiwIYQQQojeoMCGEEIIIXpDqzsPq4NwQTTheHhCCCGEaL/CwkK5llX44gKbylzRlRBCCCGqwTCMXPdwrZx5mBBCCCFEGdTHhhBCCCF6gwIbQgghhOgNCmwIIYQQojcosCGEEEKI3qDAhhBCCCF6gwIbQgghhOgNCmwIIYQQojcosCGEEEKI3qDAhhBCCCF6gwIbQgghhOgNCmwIIYQQojcosCGEEEKI3qDAhhBCCCF6gwIbQgghhOgNCmwIIYQQojeMNF0AQgghRBfl5+fjzp07ePbsGT58+ABDQ0PY2tqiRYsW4HA4CucXFxeHli1bwsTERA2llc+YMWPQo0cPTJgwQafyLokCG0II0TLv379HXl4e7O3tNV0UrbjZqltQUBCOHj2KpKQkudJnZ2fj999/x7Fjx8Dj8aSmadKkCX744Qf06tVL7nKMGjUKVlZWGDhwILy9vdG8eXO5n6sqMTExqF+/vs7lXRLDsiyr9qPooV69esHLywszZszQqbxV4eXLl4iJiZH6K6Vz584VugC+efMGcXFxePHiBT5+/AgAqFq1KurVqwc3NzfUrFlT6bxzcnLw4cMHODo6gmEY0fb//vsP9+/fh4mJCdq1a6fULy115g2o932RJjc3F0lJSTA0NFT5Ta0ieQsEAhgYSLag3759G3/++Sfi4+PB4/Fgb2+PAQMGICAgAKampnLnz+PxEBISgri4OBgZGaFz584YNmyY1DLu3r0be/bswblz5+TOX16K3mjVmX+zZs3UdrNV9+cpr6CgIBw5cgTJycnlps3OzsbXX3+N58+fw8bGBnXq1EFGRgays7PB4XDg7u6OBw8e4NatWyguLsaUKVMQGBgoVzmaNWsm+pthGDRr1gw+Pj7w8vKClZWV0q9PSJ5ynD17Fg4ODnBychKVY+PGjRrNW1FUY6OktLQ0ZGVlaV3eb9++RXBwsNiFecKECbC1tZVIGxwcjM2bN8t98Xzx4gWWLFmC69evS+xjWRYMw6BatWoIDAyEn5+fQuV++fIlVqxYgcuXL4NlWZSOtxmGAcMw6N69O+bPn4+6devKnTfLsli+fDkOHjwIgUCAunXrYsOGDWjcuDECAwNFxxQeZ/jw4ViyZInG8wbU+77cvHkTv//+O16+fIlmzZph7ty5aNKkCaKiorBgwQLk5uYCAGxsbLBixQr07NlT43m3aNECgYGBmDJlimhbVFQUfvzxRxQVFcHS0hJ2dnZ4/vw5Nm3ahP/++w+7d++GkVH5lzoej4eRI0ciOTlZ9D6fO3cOe/fuxR9//IGmTZuKpf/48SPS09PlfUsUpu7fnIrkn5OTg71792Lfvn0qvdmq8/NUlw0bNuD58+dYsGABRo8eDYZhwLIs9u3bh5UrV2LatGlYuHAhMjIyMGfOHGzatAlubm7o2LGjXPmPHTsW9evXR3h4OJKSkrB8+XKsXr0avXv3xrBhw9C5c2ely3727FlReWVhGAZpaWlIS0sTPdZ03oqiwEaKoUOHypXuzJkzuHv3LoDPH1BERIRG837//j1GjBghOmkAIDk5GUeOHMHatWulfrHkvbilpaXh66+/RlZWFpo3bw5HR0ekpqYiKSkJXC4XQ4YMwYMHD3DhwgWsXLkS9+/fx4oVK+TK++XLlxg+fDjev3+PDh06oFOnTqhfvz4sLS0BfP6F//z5c1y7dg0XL17E7du3ERoaKvdN/N9//8W+fftgZ2eHVq1a4fbt25g+fTq8vb1x+fJleHt7w93dHdnZ2QgJCUFoaCicnZ3h6+ur0bzV+b48ffoU/v7+KCwshJWVFa5cuYKUlBRs27YNs2fPRuPGjeHu7o5Xr17h7NmzmDZtGo4cOYLGjRtrNO/SwV1eXh5++uknmJqaYu3atejfvz+Az9+FhQsX4ty5c9i/fz/GjBlTbt47duxAUlISevXqhYCAABgZGSEyMhIHDx7E6NGjsX37dri4uJSbjzTCQE5ehYWFSh1HXdR1s1XX5+nu7q5QOfLz8+VOe+HCBXTr1k3sxxvDMBg9ejSuXLmCzZs3o3fv3qhTpw62bNmCfv36YdeuXXIHNlWrVsXIkSMxcuRIPHjwAGFhYTh+/DhOnDiBkydPonbt2vD29sbQoUPh6Oio0OusWbMmPn36hB9//FHqjwmWZdG7d28MGDAAP/74o9bkrSgKbKRITk6WK/J8//493r9/L3qs6by3bt2KtLQ0jB49Gt999x2MjY0RERGB4OBgfPfdd/j9998Vau8t6Y8//sD79++xZcsWsZP2woULCAwMhKWlJX755RfRhSkiIgJdunQRXZjK8ttvv+HTp0/YuXNnmV/+gIAAXL9+Hd9//z1+//13/Pbbb3KV/cCBA6hRowaOHz+OatWq4f379/Dy8sKff/6JqVOnYvLkyaK0Q4YMQf/+/XH48GG5gg915q3O92Xbtm0QCATYs2cP3N3dcefOHYwZMwbTp09H586dsXHjRhgaGgIArl+/jgkTJmD37t1YunSpRvMu7fr168jJyUFQUJDYuWZtbY1169ahX79++Pfff+UKbE6fPo1GjRph48aNouYRZ2dn9OrVC9OnT8f48eOxbds2uLm5KVzOtm3bqu3XKaDeGzmg3pttSar6PD98+ABTU1NUr15druPy+XwUFRXJlfbt27cYMGCA1H2NGzfGjRs3RI8tLS3h4eGBqKgoufIujcPhYMGCBZgzZw7OnTuHw4cP4/r169i0aRO2bNkCd3d3DBs2DAMHDpQrvxMnTmDFihVYsWIF4uPjsXDhQtjY2Eiks7CwgIODg0JlVWfeiqLh3lJwuVyYm5tj4cKFuH//vtR/LMvC19dX9Fietll1533+/Hk4Oztj4cKFqFmzJqytrTFhwgQcPHgQNWrUwPTp03H69Gml3pPr16+jT58+EpF4z5490bt3b+zatQvA55N21apVcHBwwIEDB+TK+7///sOAAQPk+kXTqVMnfPXVV1Kbw2R59uwZ+vTpg2rVqgH4fJHs3bs3eDwehg0bJpZWuO/Bgwcaz1ud78utW7fQo0cP0Q3R1dUVPXr0wIsXLxAYGCgKPIR5u7u7Izo6WuN5l/bs2TMwDIM+ffpI7DMzM0OnTp3w+PFjufJ68eIFunTpItHno1OnTggJCYGpqSkmTpyImJgYhcspbKZt27atXP/kvSELffjwAQUFBbC0tJTrX0WacoQ328uXL+OPP/5Aly5dkJmZiU2bNsHT0xPjxo3DsWPHlMpbVZ+nvb09HBwccP78ebn+9evXT+4yVq9eHY8ePZK67/HjxzA3NxfbZm1tjby8PLnzl8bY2Bj9+vXD9u3bceHCBfzwww+oW7cubty4gTlz5sidT9WqVbFq1Sr8+eefiIuLw1dffYXjx49XqGyVkbeiqMZGisOHD2PLli1YtWqVKApt2LCh1uedkZEBDw8Pie0cDgf79+/H2LFjMXPmTBQVFcn8xSHLhw8fZEbZwguIkLGxMbp3745//vlHrrzz8/Ol9gGSxcbGRqFfnHl5eahSpYrYNuHjqlWrSqS3tLSUuylAnXmr83159eoVPD09xbY1aNAAAKQ2CXE4HNy5c0fjeZcmvEHXqFFD6v7q1aujoKBArrxMTU3Fgq6SmjVrhj179mDcuHH47rvvsHnzZoXKWb9+fRQXFyMkJESu9MLOrPKyt7eHmZkZTpw4oZb8pRHebPv164fMzExEREQgMjISN27cQHR0tNy1CCWp6vN0dnbGuXPnkJeXBwsLC4XLUZYuXbogIiICBw8exNdffy3afujQIVy+fFni3H/16pXCgWpZ7OzsMGnSJEyaNAk3b96Uq5tCad27d8fx48exYsUKzJo1C8ePH8eSJUtQq1atCpdPnXnLi2pspDAyMsLUqVMRHh6O/Px8DBkyBFu3bkVxcbFW512lShWZ+dSuXRt79+5F3bp1MWfOHIUvanZ2dkhMTJS6LzExUaITobm5udw38EaNGuHMmTMyh02WlJeXh7Nnz6JRo0Zy5Q18Drzu3bsntk34OCEhQSJ9QkKC3BcideatzvfFzMxM4gZhbGwMAFJHnZiYmMjdlKLOvAHg/v37OHLkCI4cOSLqvPv69WupaTMzM+Xu4Org4FBm7WiTJk2we/duWFpaYtKkSQrVMrVo0QKpqamiEW2q5uzsjOfPn1e4ZkBZwpvt6dOnERISgiFDhsj9XHV8ni1atEBxcbHcAyOkdcyXJTAwEFZWVliyZAm6du2KESNGoGvXrli8eDHMzMwwbdo0Udri4mJcu3YNrq6ucuWtqHbt2uGXX35R6rnC7gPbtm1DSkoKBgwYIHctuybzlgcFNmVo1qwZwsPDERAQgODgYPj4+Khs+KU68q5bt67Um6lQzZo1sXfvXjRo0ADz58/H2bNn5c67V69eiI2Nxa+//iq60fJ4PPz++++IjY1F165dxdKnpqbCzs5OrrxHjRqFFy9ewNfXF//++6/UEWFZWVk4fvw4RowYgZcvXyo06qpbt264ceMG1q9fj1u3buGPP/5AdHQ0+vXrh2XLlomqtouKirBlyxbcunVL7j4L6sxbne+LnZ0dMjIyJF7LwoULpabPyMiQu/ZInXkDn0dfBAUFISgoCHv27AHLsjKb4BISEkS1ReVxd3dHbGxsmSMSGzdujJCQEFhbWyM2NlbuMrdo0QIsy4oGBJTH2toaderUUSh/dd3IFaXozVYdn6evry/27Nkjd234qlWrcP/+fbnS1qlTB4cOHUKXLl2QnZ2NO3fuICsrC+3atcP+/fvFaiWLioqwYcMGzJ07V66827VrV6E+Ssro1q0bjh07hr59+yo0YlPTeZeF5rGRU0pKCoKCgvDgwQOMGzcOO3bsgK+vL5YtW6Y1ef/+++/Yvn07zpw5U2bnrKysLIwdOxYPHz4EwzBy9eHJycmBj48PUlNTYWBgABsbG2RnZ6O4uBg1atRAeHg4ateuDeDziI5OnTqhd+/eWLVqlUJlF56OVapUgaWlJRiGwcePH/Hp0ycAn/sqfPvtt/jhhx/kyhf4PO/E0KFD8erVK1HHbRcXF+zevRt+fn64d+8erK2tkZubi6KiIpiZmSE8PFyuUTrqzFud78u8efNw9epVXL16tdy0AoEAHh4ecHZ2RnBwsEbzjoyMlLq9bt26aNu2rdi2+Ph4fPvttxgzZgymTp1abt6xsbH44YcfMH78ePj7+5eZ9uXLlxgzZgxevXol1/eHx+Ph3bt3sLGxUXnTCPD5O/3o0SM0btxYpc0eAODn54dhw4YpVAsjL3V+npWhsLAQ2dnZsLKygpmZmaaLU2HR0dG4f/8+OByO3KO4tCHv0iiwUUBxcTG2bt2KLVu2gM/nqyywUVXe9+/fx6JFizBo0CCMGjWqzLTv379HYGAg0tPTxfrHlCU7Oxvr16/HhQsX8O7dO1hbW6Nr166YPn26KKgBPv9KeffuHSwtLSX6n5Tl8ePHOHz4MOLi4vD8+XPREFlLS0vUr18fbdu2hbe3t9xBQUnv37/HoUOHkJ6ejqZNm8LHxwdmZmZ49+4dVq5ciatXr6KwsBBt2rTBDz/8gJYtW2pF3oB63pf79+8jMTERQ4YMETUTyRIfH48lS5ZgwoQJGDRokEbzJoSQ8lBgo4Rnz57h0aNHcHR0FJspUtvzJoQQol6fPn3Cs2fPYGJigiZNmqh0mL868xYKCgqCu7u73HOuyfLy5Us8e/YMHz9+hIGBAWxtbdG8eXPRPFzqRIENIUSvqOrCXJq6byppaWkwMjJS2+gRVb0vWVlZUpf2UKSflNDr168rdbTMy5cvsWvXLomlGhR9T06dOoWtW7ciOzsbHTt2xLx582BlZYUdO3Zg06ZNon6I1atXx7x58+Dl5aUVecujWbNmSrdGFBYW4u+//8ahQ4ck+tkBn5vMu3btimnTpqFFixaqKK5UFNiUo6ioCMnJyVK/yE5OThWaD6KoqEji+S9evBCtLeTq6ip1gqOKUMXFU53vSWUqLCzEqVOncO/ePfB4PDg4OKBPnz5KD79X5/ui6lWE5aGqc6Wyz/GKXJjVeVN58uQJtmzZIlpmYvLkybCzs0NcXBzmzJkjGhHUtGlTLF++XOlZjmWpyPvC5/Oxd+9ehIWF4enTp1LTNGzYEMOHD8eoUaPKbYIsWaYmTZpg2LBhGDx4sFLBkTQ9evTAuHHjMG7cONG22NhYfPfdd6J+aUZGRigqKgLDMPD09MT69evlyjs+Ph4jR44Ey7KwsrJCTk4OunbtCm9vb8yYMQMNGzZEmzZtkJ2djcuXL0MgEGDXrl1yDRpQZ94A5OrUvXv3bjRt2hSdOnUC8DkYmTdvXrnPy8/Px/jx43H79m3RvE0fPnwAy7Jo3Lgx6tWrh4cPHyI1NRVGRkZYunQpvL295Sq3oiiwkSEnJwcbN27E0aNHRX0aSq75A3zu4zB48GBMnTpVoTVTdu7cia1btyI3Nxdt2rQRTWi3ZMkSHDp0SHQcY2NjBAYG4ttvv5U7b3VePNX1nqh7IbwDBw78X3tnHhfz9v/x16isufblynJdy0yLFC3WKEmLlMq+JVfZskSIIrJl30uuJbuKwi1LyRZRxCVEEdGGVMrSen5/9JvP15ipPpM+Zbrn+Xh4eMyZM685nTlzPu/5nHPeL1y9ehVeXl7M+8TFxWHGjBlITU0VOR0iJyeHmTNnimQMLg8uxwpXLsIAt2OFqzHO5cTM5UUlPT0dw4YNQ3Z2NlP2559/Yu/evbCyskKdOnXQvXt3pKen4+HDh/jtt99w9uxZkb1rZcFlv3z58gV2dnZ48OABGjRogB49eqBDhw7M/rnPnz/j9evXiImJwZcvX9C9e3fs37+f1SZp4XI7j8eDnJwcBg4cCBsbG+jp6UmcE9giEAgwa9YsxpixoKAARkZGeP/+PebOnYsRI0agYcOGiIuLw8qVK/Hvv/9i7dq1rDZIz5w5Ezdv3sShQ4egrq7OZNZu3rw5VFVVsXnzZiaYf/jwIcaOHYt+/frB29u7WrWF/cIm8/33z7M9YLJ582b4+PjA1taWyUafm5uLXbt24ciRIzhw4AC0tLTw4MEDuLq6IjExEX5+fpzcuaGBjQQ+fvyIMWPG4PXr1+jQoQN69+4t0aMnMjKSqXP8+HFWvzauXbsGBwcH1KtXDx07dkRiYiK6dOmC4cOHY8WKFejVqxd0dHTw8eNH5kK5fft2iZk4f4TLyZPLPlFWVi7XCK9JkyZITk4GIQQ9evSQyghv1KhRUFRUxL59+wCU3KkxNjZGamoqTE1Noa+vj4YNGyIhIQGHDx9Geno6Nm/ezMoOgst+4dJFmMuxwuUY53Ji5vKismrVKhw9ehSrV6+GkZERrl+/DmdnZ6ioqKB27drw8fFhAoWgoCAsXrwYtra2rAIPgNt+8fT0xIEDBzB9+nQ4ODiUevrn27dv8Pb2hre3N+zs7FhlxBUIBBg+fDiaNm2KM2fO4MOHD+DxeGjWrBmGDx8OKyurCt1B/TGwuX79Ouzt7TFjxgyRPDNAyeb/IUOGoGvXrqwSKBoYGKBnz57YsGEDU7ZgwQIEBwcjODhYLJfU3Llzcfv2bRGrherQBgBNTU3weDzMnj1boks7IQSTJk3CwIEDYWdnx5SzCd4HDx6MVq1a4ciRI2LPjR8/HgCY5z58+AATExP07dsXW7duZdV2qSAUMVxdXYmysjLx9/cvt66fnx9RVlYmbm5urLQnT55MtLW1ydu3bwkhhCQlJREtLS3Sq1cvsmLFCpG6SUlJRENDg0yaNImVtoeHBxEIBOTUqVMkJyeHBAcHExUVFWJjY0PGjh1LcnNzmbqBgYGEz+eTtWvXstLmsk/4fD7ZsWMH8/jz589ER0eH9OjRg4SEhDDlmZmZZObMmUQgEBBfX19W2oQQoqOjQ1atWsU8Dg0NJXw+n+zevVus7ocPH0jfvn3J6NGjWWlz2S/u7u6Ez+eTQ4cOkeLiYkIIIcXFxeTw4cNEWVmZhIaGEkIISUlJIePHjycCgYDcunWLlTaXY4XLMa6hoUE0NTXJgQMHyJ07d8T+3b59m/D5fOLg4CBSzgZ9fX2yYMECkbL58+cTgUBAXrx4IVZ/zpw5RFdXl5W2qakpsbOzEylzcHAgAoGA3L17V6y+jY0NMTMzY6VNCPf94uDgwLotU6dOJfr6+qzqfv/dLywsJGFhYWT69OlEVVWV8Pl8IhAIyNixY8mpU6fIly9fWLfhxzll//79RCAQkKSkJIn1nZ2diY6ODittdXV1smnTJpGyTZs2EYFAQL59+yZWf8OGDURVVbXatQkp+b5NmDCBqKqqks2bN5O8vDyxOnw+n7i6urLWFKKmpkY8PT0lPufp6Uk0NDREyhYvXkz69u0r9fuwgSbok8CVK1dgbGwMGxubcuuOGDECRkZGrI9MJyQkwMjIiMkz065dOwwePBhZWVkiEbLwOSMjI9ZJtyIjI9GnTx9YWVlBUVERpqam6N+/P2JjY+Hk5CRy9NrS0hLdunVjlWsE4LZPfkRohDd79myJRnitWrVCcHAwa71v376J+LckJiaCx+Nh5MiRYnWbNWsGQ0ND1sm6uOyX712EhUtaQhfh/v37M2n9hS7CzZo1Yzy7yoPLscLlGD979izU1NSwceNG3Lx5ExoaGtDR0WH+6erqAihJRvl9ORsyMjLEkuK1adMGACTmhWrbti1r1+6UlBTw+XyRss6dOwOAxNOPampqSE5OZqUNcNsvHz58kGofl0AgwIcPH1jXFyInJ4dBgwZh9+7dzB2tP//8E/fu3cPSpUvRt29fLF26FPfu3ZNaW5iRvbT9Yq1atWL23pRHy5YtxT6bt2/fAijZnPwjSUlJrNNecKkNlHzfDh06BBcXFxw+fBgWFhYV6k9J/Pbbb6WO2ZSUFLE77C1bthS5Y1yZ0MBGAmX5IkmiXbt2+PTpE2vtH5chhAm1WrRoIVa/efPmrNOkczl5ctknP1KZxoZAycXp2bNnzGPh2n9xcbHE+sXFxaxPvHDZLx8+fECXLl0kPtepUyeRPhC6CLP1XOJ6rHA1xrmcmLm8qMjLy4stEwmXdCRplGWPIgmu++X+/fus68fExLDOOl4aTZs2xZQpUxAcHIyTJ0/CxsYGtWrVwqlTp1hn105OTkZ0dDSio6MZe5fSskp/+PCBMbItD3V1dYSGhiIyMhJAyQ+x0NBQdO3aFRs3bhSxkomKisLly5dZ567iUvt7xo0bh3PnzqFVq1aYMGECPDw8pHZ8/xFtbW1cvnwZ169fFym/ceMGQkNDoaGhIVL+/v17NG7c+KfeszRoYCOBtm3bIiIigtXEUlhYiBs3brBOg926dWsxZ1jh4+8vvkKeP3/O+sPncvLksk9+pDKNDQHA0NAQERERzERvYGAAeXl5nDhxQqzu+/fvcfnyZdY5hLjsFy5dhLkcK1yOcSFcTMxcXlSaN28u5n+kqakpcmrne9LS0ip0QoiLfjEzM0N0dDRcXFxK9XACSvZtubi44N69e1Kb7JZF9+7d4eHhgYiICKxbt04sI3FpBAUFYeLEiZg4cSK2b98OAKU6sz979oz193L69OkghMDOzg5qamqYMmUKGjVqhJ07d+LRo0cYMmQI5syZg4kTJ2Ly5MkoLi5mHYxxqf0jSkpKOHjwINzc3BAUFAQzMzOxoEQaZs2aBXl5eTg4OGDUqFFwcnLC6NGjYW9vDx6PJ3Yg4/bt21BTU6vw+5WFbJzLrWKsra2xYcMGTJ06FbNnzxaLNIGSTVYPHjzA9u3b8ezZMzg7O7PS1tHRwalTpxAQEID+/fvj+vXruH79OrS1tbFmzRp4eXkxx1/PnDmDGzdusNpUCXA7eXLZJ8D/jPAAiBjhtWvXTqyuNMaGAGBvb4/g4GD89ddf+OuvvzBkyBC4uLhgzZo1iI+PZzYPv3jxAkeOHMHHjx9Z+5pw2S9cughzOVa4HOPfI5yYjx8/jo0bN+LKlStwd3eXWkfI9OnTcenSJdjZ2UFOTg5FRUVo1qwZdu7cidGjR2PIkCFQV1dHZmYm7t27J9VFRVlZGQ8ePBAp69u3L/r27Sux/qNHj0q9W1celd0vM2bMQExMDAIDA3HmzBn8+eefaN++vYi1R1JSEl6+fIni4mJoa2tLdaqQLXXr1oWlpSWrk0ulbaKXFLTHxsbiyZMnmDhxIqt2dO7cGQcOHICXlxeTbXzOnDlo164ddu7cifnz5+PixYvM+zk5OWHAgAHVrl0aY8aMwYABA+Dq6irVCVxJbd+3bx+WLVuGf//9l7l73LZtW7i5uUFTU5Op++XLF8ydO5ezVBX0VJQEiouLsWjRIpw7dw48Hg/169dH27ZtRb7Ib9++xZcvX0AIgbm5OdavX89q+SIlJQUWFhYia/Pt27fH8ePHMXr0aLx//x6dOnVCZmYmUlJSUKtWLRw9elTiBfNHnJyc8ODBA9Z7OIYMGYL27dtj79695dblsk++P/IJ/O+o9IoVKzBq1Cix+iYmJmjWrJnE3fel8ebNGzg6OiIuLq7UNhFCoKCggPnz55d6gf8RLvslNTUVw4cPR3Z2Npo3b442bdogJSUFHz58EPOcKioqgp6eHrS1tVmdMuByrHA5xst6T1dXV8Y8saL5Wu7evSt2UenUqRPu37+P+fPnM0G38KJSnnWJkKioKNy6dQszZsxA7dq1y23D9OnT4ejoyPpiWxqV1S9FRUXw9/dHQEAAnjx5IraMW6tWLaiqqsLGxgY2NjaQk5NjpWtgYABbW9uf/jt/hoKCAnz79g116tQp97NhQ2FhIV6+fIn8/Hx07dq1UjSrQhsATp8+jbi4OGhoaMDU1LTCOklJSfjw4QOaNGlS4bxgPwMNbMrgxo0bCAgIwL1798Q2wzVv3hxaWlqwsbFBv379pNJ99eoV9u/fz0yeU6ZMQfPmzZGYmAgXFxfml12HDh2waNEiGBgYsNKtismTiz6pKiO8wsJCnD9/HufPn8eTJ0/w8eNHFBcXo2HDhvjjjz+gq6sLa2triXeJyoOrsfL69WusWrUKkZGRKCwshJycHHr27AkXFxcoKysz9fLy8hAbG4s2bdqwcoXmeqxwNcbLo7ImZklwfVHhksrsl7y8PCQlJSE3NxeEECYJpTS5pSgULqGBDUu+fPki8kXmwqFXSG5uLgoKCio9I2tlU5V9Iktw0S81zUVYVsY4hcKG9+/fi2Qbl7RJviIUFBTgzZs3In5L0hxW+K9CAxsKhUL5BeDK46oqyMrKgoKCglRHj6uD3Nxc+Pn54cGDB/j69SvatGkDU1NT5ji8NFy6dAn+/v64d++e2AbtevXqQUtLCyNGjKjQ/rF//vkHJ06cwIMHD8Q27Tdq1Aimpqawt7dnnZm6PCqrX/Lz83HmzBm8ffsWfD4fJiYm4PF4yMjIwIYNGxAVFQV5eXno6elh1qxZnJ2KooENCyrT9O1HqsoB9d69eyKeSP3792d9vJENVeE6+1+Hy3EoCVm60NaEiflnvJxUVVXRr18/WFtbM6f+KpOYmBjs37+f8dCyt7dH7dq1ERISgvXr1zMb0VVUVLB48WJoa2uz1uaiz8eNGwdra2sRL6KEhATY2dnh/fv3YhmYbW1tsWjRIlbtLSwsxLx58xAWFgagxCNLuJkaKBmLSUlJjKfW4MGDRbJWl0VRURHmzJmDy5cvi51abNOmDRQVFfH69Wvk5eVBUVERW7dulWp5m8t++fbtG8aOHYunT5+CEAIejwcDAwNs3rwZNjY2iI+PR6NGjZCTk4Pi4mJ06dIFAQEBnCxh0sCmFLgyfQO4c0C9cOECIiMjsXz5csZnJS0tDbNnz8ajR48AgBlw9evXh5ubG6sTBt/rV6frrBBPT0+EhoYyE8uvoB8SEoKYmBjIycmhb9++0NPTk1gvMDAQgYGBOHToECtdLsdhefzMhRbgpk9kdWLm0ssJ+J+lAlBy7H/YsGGwsrISy1VUEeLj42Ftbc0cd+fxeDA3N4elpSX++usvNGzYEMrKysjMzMSzZ8+goKAAPz8/kT1gpcFVn/9oqSDcuJ+QkIAxY8ZgxIgRaNq0KR49eoT169fj7du32LVrF6u9Xl5eXti2bRssLCwwb968Uu+apKWlYfPmzTh37hzmzp0LBweHcrX//vtvbNy4EUOGDMHMmTOhpKSE5ORk7N69G7du3cLRo0fRoUMHhIaGYu3atcjNzcWZM2fQoUOHcrW57pcDBw7A09MTlpaWMDIywrVr1+Dn5wcLCwvcuXMHO3fuhKqqKr5+/Yo1a9YgICAACxYswJQpU1i1XRpoYCMBLk3fuHRAnTBhAoqLi3H06FEAJSd2hg8fjmfPnkFDQwP6+vpQVFTEixcvEBQUhG/fvmHfvn3o3bt3udpcu85Kg4uLC4KCglj53HCtX1RUhOnTp+PGjRsixpc6OjrYsGGDWKKynTt3YteuXay0uRyHXF5ouewTWZ2YufRyEuobGhpCXl4e4eHhyM/PB4/Hg5qaGqytrTF06NAK3wV2dnZGSEgINmzYgAEDBuDatWtYuHAhOnfujIYNG8LLy4vRDg0NxezZs2FsbIwtW7aUq81Vn/84TqKiojBx4kSMHTsWy5YtE6mblpYGExMTaGtrw8fHp9w2DxkyBC1atGB9KnPs2LHIyMhgjmmXhZmZGerUqYNTp06J3PUmhMDa2hrNmzdn2piYmAhLS0uYmpqy+j4D3PaLlZUViouLmbQdQMkpvNjYWGzZsgXGxsZMeVFREQYPHowWLVrg5MmTrNouDTSPjQR27NiBBw8eSGX6tnPnTlamb15eXnjw4EGpDqgrVqwQcUB1c3MDn89ndefmxYsXIoPn5s2bePbsGcaNGwc3NzeRuhMnTsSIESOwd+9eVoHN33//jTp16ogZBL58+RJGRkYSDQL379/PSWDzK3H06FFcv34d3bp1g62tLeTl5REYGIirV69i9OjR8PX1rdApK4Dbcejr68vqQhsfH4/4+HjmMZvAhss++ZHo6GgkJCSITcytW7dGt27dYGJighMnTrAKbM6dOweBQIB169YBKDmK/OTJE5w5cwZbtmxhvoP16tWDu7s7bt68iUuXLrEKbOrVq1ch80FpEF60srOzcebMGZw+fRqPHj1CbGws1q1bByMjI1hbW0u9PPfgwQMMGjSIOU1lamqKkJAQXL58GadOnRIJmAYPHoyBAwciOjqalTaXff49T58+BY/Hk3g8v3Xr1tDX12dtJJmSkoIhQ4awfm8tLS3WVidv3rzBuHHjxJbyeTwedHV14efnx5R17NgRgwYNYo7yV4TK7Jfk5GSYm5uLlPXo0QOxsbFi1wE5OTn07t0bly5dqnDby4IGNhK4ePEiBg4ciDlz5pRZr27dupg7dy6ePHmCCxcusLqgnD9/HlpaWiIXCEVFRSxatAiPHj3C1q1bceTIEWhoaODgwYMwMTHB3r17WeUmyc3NRcOGDZnHz58/B4/Hw9SpU8Xq/vHHHzAyMsKFCxfK1QVKvgCDBw+Guro6gJJsoIMHD0ZwcDD27t0rsn6srq4OQ0ND1l8IafdwCHOJsIVL/TNnzuD333/HkSNHmNvjQ4YMwalTp+Du7o5x48bB19e3QrkcuByHXF5oueyTH5GVifns2bNYunQpNm7ciClTpmDmzJkSj4sLvZx+hkaNGjEZd588eYKAgAAEBwfj7NmzOHfuHJSUlGBlZYXhw4ezSg3w7t07Maf7P//8E5cvX2byKH1Pp06dcOPGDVZtraqLoTBTeWkBtZKSEmurk6ZNm+L58+es3/v58+esT//Vq1evVNuHjx8/iv0QadeuHUJDQ1m35Ucqs1/y8vLEsqELr0eS9gE2a9bsp7NilwYNbCTw4cMHqfaHCAQC1pNnWlpaqbvk1dXVcfz4ceZx8+bNYWhoyHqSaNmypcg+DOF+i9J+6derV69Uv6Qf4dIgsCJLStJsTuZS/+XLl7C0tBRb87e2tsbvv/+OmTNnYsKECTh48CDjxcQWLschlxdaLvvkR2RlYhZ6OR09ehSbNm3CpUuXsGrVKvTs2ZPV6yuKiooKli1bhsWLFyM0NBSnTp3C7du3sX37duzevRuxsbHlajRr1gzv378XKRM+Tk9PR/v27UWeS09PF+vH0uCyz3Nzc0USKgIlp7ck+VhlZWWxXqobNGgQjh8/jp07dzKbqCWRn5+PPXv24Nq1axg7diwrbQ0NDVy8eBF2dnYi+6OePXuGixcvill4ZGZmSn0IhKt+adq0qVgOr5YtW0r84QSUXFOkySAvDTSwkQCXpm9cOqDq6ekhICAAL168QKdOnZh07cHBwWK/aHNzc3HlyhXWv5rLMwj88QIljUFgixYt0LRpU5w5c4ZV/cWLF7Ouy7U+j8cr9Yvfp08f+Pj4wN7eHpMmTcK+fftYtxngdhxyeaHlsk8A2Z6Yx40bh4EDB2Lp0qWYMGECxowZgwULFrAOBCpK7dq1YWZmBjMzM6SlpSEgIID1GOfz+bh06RLs7e3RsWNHvHjxAhcvXsTvv/+OPXv2YPXq1UzdFy9e4NKlS8yd3fLgss99fX3h6+srUvbw4UMYGhqK1X3x4gWru1cAMGfOHNy5cwe7du2Cr68vevToIdFiIiYmBjk5OejUqVO5d12FODg4ICIiAiNGjIChoSGUlJSQkpKC0NBQFBQU4K+//hKpf+/ePak3iHPVL127dsWTJ09EykaOHImRI0dKrP/ixYtKW5L+ERrYSMDMzAx79uyBi4sL5s6dW6rVfXp6OrZu3Yp79+6x9tjQ1tZGWFgYrl+/LnJKROiAKtyoKUQaB9Rp06bhn3/+waRJk7BgwQIMHjwYs2fPxrp16/D27VsRT6S9e/ciJSUF06ZNY6X9vUFg7969xQwCt2/fzvxyERoEstm7A5QcVY2IiEB+fj6rbK7SHiXnUl9JSanM29La2trYu3cvHBwcMGnSJNYGfgC341AIFxdaLvsEkP2JubK9nKSldevWIhtIy8Pe3h5Xr16Fubk5c0qndu3a2LFjByZMmICEhAT07NkTmZmZuHjxIvLz8zFixAhW2lz1eWnLz8JUCd+TmJiImJgYET+2smjUqBFOnjyJPXv2IDAwENeuXZNYr3nz5hgzZgzs7e1ZB9c9evTApk2bsHz5coSEhDDlDRo0gKurq4gvVG5uLoYOHSriwVQeXPaLgYEBzp49y2qeffHiBR48eMDqpFhFoIGNBLg0fZs1axauXr0KBwcHqKurMxH5v//+Czk5uZ9yQG3ZsiX+/vtvzJo1Cy4uLliyZAmaNm3KnFD6fgMbIQQTJkxgPQFxaRCoqqqKq1evIi4ujtUvPUJImZteq1JfU1MTZ8+eRW5ubqmTl5aWFvbt24epU6ey9mYCqs58sLIvtFz2SU2amCvLfJBrNDU1sWnTJmzbtg2pqano2rUrFi9eDFVVVWzYsAGLFi1iDA9r1aoFOzs7DBs2jJU2V33O9pQQADRp0gRBQUGs73YCJfsi58+fDycnJyQmJkq0mOjYsWOF8nkZGxtDX18fMTExjN+Spqam2B1wRUVFTJ8+XSptLvulrID0R5o1a4agoCBmO0NlQ497lwJXpm9Aye3DZcuW4cWLF0yZ0AH1+4j8y5cvCAsLQ9euXRmjSDbk5ubiyJEjOH/+PBISEkQyV7Zs2RK6uroYPXq01MsOXBkEvnnzBnfv3oWOjg6rdOGZmZn48uUL69TiXOpfu3YNDg4OcHJyKvfi9PDhQ/z111/Iyclhve+Hy3EoicowTeS6T9iSlZWFtLQ0tGzZstKTGAq127RpUymJLrn0uOKazMxMPHjwAPn5+ejevXulZcP9kcruc0rNhQY2LODK9K0qHFALCgqQnZ3NmD1ytZYvywaBP0t+fj5q1arFKrNodnY2cnNzK+T3UpXmgz97oa2qPqFQpKWgoAAvXrxAXl4e2rRpU2m+TpRfBxrYUCgUShkIM+7KWrCel5fHWLU0atTop+/mVZV2ZfDs2TM8f/4cZmZmTBb2goICbN26FceOHWOypAMlS20rVqxAly5dWGkbGRmhX79+sLKyYr1NgC1caleFflJSEo4ePcpkpxcuHd+9exdbtmzB06dPUbt2bejo6DB3/LmABjbVjCy7t3LlaEuRTFWNlbS0NDx+/Jj5Rauurs5cHCqLipomcj0xA8Djx4/h7++Pu3fv4vXr1ygsLAQAyMvLo0OHDtDW1oa1tXWF3v/hw4e4d+8e5OTk0KdPn1KPu4eFheHy5ctS7YkASjKEnzhxAlFRUUhLS2PK5eTk0LVrV5iZmWH06NEVMqvkUpst/v7+iImJKbdfZs6cicTERJENuPPmzcP58+fRoEEDaGhoQFFRES9fvkR8fDx+++03+Pv7s7Im+N6+omvXrrC2tsawYcMqxTeMS22u9ZOTk2FlZcWc4hVampiZmWHs2LEoLCyEkpISsrKykJOTg0aNGiEgIICTk1E0sJGCynSG5cq9lWsTPy4dbdni4+ODiIgI1n5Lv5J+RbS5GCtRUVG4f/8+pk6dygQtOTk5cHNzw6VLl0Q2T7dp0warVq1ifcoN4M40keuJf+3atTh06BAIIahXrx7atm0rYm749u1bfP36FTweD5MmTWLt5QQAy5Ytg7+/P4D/ebYNHz4crq6uYjYY0thMCFmzZg0OHz4stvH9t99+Q1FRET5//gyg5PPctWsXKy+nqtCWBrZ2JwMGDED//v2xatUqACXBqrW1NbS1tbF9+3aRhHn//PMPFi5cCDMzM2zYsKHcNggEAmhra+Pbt2949OgReDweFBQUYGBgAGtra/Tr16/CJsBcanOt7+7ujhMnTmD+/PkYMGAArl69iu3bt0NTUxOfPn3C7t27mR9iBw8exLp162BlZYU1a9ZU+O8pDXoqSgLSGO35+flJZbTH1r312LFjOHv2rFTurZIM5YKDg7F582bY2tqKGModOXIEd+7cYW3ix9bR9saNG7hx44ZUjrbSkpiYyDpl+6+mL402l2PFx8cHmZmZIidMZs6ciaioKCgpKaFv376Mr9iNGzfg4OCA48ePs7L2iI+Ph62tLbOEExMTg6SkJFhaWmLBggVo2LAhdHV1kZmZicePH8POzo61aSJQcqJKODGvXbsWGzdurJSJ+dixY/D19YWuri5mz54NTU1NsTtVxcXFiImJwY4dO+Dr64sOHTpgzJgx5WoHBQXBz88PSkpKGDVqFOTl5XH27FmcPn0aT58+xb59+35qg7O/vz8OHToETU1N2NvbM8ey9+7di7S0NMY/7ty5c/D29oadnR3Onj3L6i4rl9pc8fHjRzRr1ox5fO/ePfB4PLi5uYllAR46dCguXrwolTWBrq4uZs2ahYSEBPj7++PcuXO4cOECLl68iJYtW8LKygpWVlYVuhvBpTaX+rdv30b//v2ZTPddu3bFnTt3cOvWLRw+fFjk7rKtrS2uXr2KyMjICv0N5UIoYvD5fLJjxw7mcXFxMTEzMyN8Pp+4u7uTx48fk9TUVHLp0iViaGhIBAIBuXz5MivtvXv3Ej6fT2bPnk2ePXtGcnNzybNnz8icOXOItrY2ef78OcnLyyP//PMP6du3L+nevTt59eoVK+39+/cTPp9PFi1aRC5fvkyWLVtGBAIBWbRoERk4cCCJjY0lhBDy5csX4urqSgQCAfn7779Zae/evZvw+XyycOFCkpqaWmq91NRU4uzsTAQCAfH29malLS2LFy8mAoGAE22u9aXR5nKs9O3blyxbtox5HB0dTfh8PnF0dCT5+fkide/evUu6detGZsyYwUp7wYIFREVFhQQHB5Pc3FwSHBxMVFVViYWFBRk/fjzJyclh6l66dIkIBAIyd+5cVtrffzfj4+PJmjVrSO/evQmfzycCgYDo6emRrVu3kqSkJFZ632Nubk4sLS1JYWFhuXULCgqIhYUFGTp0KCvtMWPGEF1dXfLx40emrKioiGzbto0IBAIydOhQ8v79e+a5HTt2SDUGhw8fToYMGULy8vJEyvPy8siQIUNE+jcmJoaoqKgQDw+Patdes2aNVP9MTU1Z9Uvfvn3JkiVLmMd79+4lAoGAfP78WWL9devWETU1NVZt/vH6QEjJeLh48SKxt7cnKioqzHicMGECCQoKIt++fat2ba71u3fvTjZu3ChStmHDBiIQCMjXr1/F6nt6ehJVVVXWbZcGeseGBZVptBcYGAgVFRVs3bpV5Jb6li1bYG1tjQ0bNsDHxwdmZmZQUVGBpaUlvL29Wa21c2koFxQUBC0tLXh6epZZr3Xr1oyr8unTp1nlnGCbKEzI48ePparPpT6X2lyOlezsbJHlm9jYWPB4PCxYsICx4hDSs2dPGBkZsbb24NI08Xs6d+4MFxcXODs7Izw8HKdOnUJERAS8vLzg7e3N7IUxNjZmdVfy9evXmDhxIquNsPLy8ujfvz/rJcXnz5/D1NRU5G5BrVq1MHv2bLRv355JkHjo0KEK3el4+fIlRowYIbbBuXbt2ujfv79IlmFNTU1mqcDV1bVatdmYsf4ImztyPXr0wJUrV/D582c0aNAAampqIITg7t27IolRhcTExPzUMXV5eXkYGRnByMgI79+/R2BgIE6fPo2oqChER0dj1apVFb4LzKV2Zeo3bNhQzL5E+DgrK0usf7OysjjbkE8DGxZUptEel+6tXBrKceloGxYWxsnkVhX6XGpzOVaaNWsmYvYpbH9pyyHNmjUTOUlSFlyaJkqisibmBg0aSGWA+vbtW9YbZQsLC0vdB2RpaYnatWtj4cKFGD9+vFhWZTbIy8uX6qH07ds3ZllQSJcuXRAREVHt2g0aNECrVq1YJ4T08fHBzZs3y633119/ISwsDA4ODvD09ESvXr0wcOBAuLq6YuXKlejfvz/k5OTw7t07bN26FQ8fPqy0JIktWrSAvb097O3tce/ePQQEBODixYu/vPbP6nfu3BmhoaGYM2cOmjZtioyMDISGhuK3337D8ePHMW/ePKZuRkYGwsLCODsVRQMbFlSm0R6X7q1cGspx6WjbuHFjtGjRAt7e3qzqe3p6SuVoy6U+l9pcjpVevXohNDQU79+/R4sWLdCzZ08QQnDt2jWYmZmJ1C0oKMCtW7dYr7lzaZpYHj8zMfft2xchISHo169fuY7wp0+fxqVLl8T6qjR+//13vHr1qtTnTU1NUatWLSxYsADjx49nvZlaiIqKCkJDQ+Ho6ChivZGeno5Lly6Jnb7Kzs5m3edca8fGxkJbW5tVwB8YGMhKV11dHcuXL8fKlSthZGQEFRUVtGrVChkZGZg+fTrk5ORQt25dfP78GYQQdO/eXeosvmzo2bMnevbsKXKnXxa0K6Jva2sLBwcHmJqaQkVFBU+ePEFubi68vb0xbdo0JCUlQUtLC5mZmfD390dOTg4sLCw4aTsNbEqBK6M9Lt1buTSU49LRVlVVFXfv3kXr1q1ZLQNIe5yUS30utbkcK9OmTUNISAhsbW2xYsUKaGlpYeTIkVi+fDmysrIwcOBAxlds586dSEhIwIIFC1hpc2maKA3STszz589HZGQklixZgj179qBPnz4SLSxu3bqF169fo1mzZnBycmKl3a1bN1y5cqVM6wBjY2PIy8tj3rx5CAoKYvtnAgDs7Owwbdo0WFhYYOTIkWjTpg1SUlLg7++PT58+Yfz48SL1Y2NjWTurc6kt/P68fPmy0n+9jxo1CgKBANu2bUNkZCQePXrEPFdYWIjc3Fy0bt0ao0aNgp2dHSeJLoVwaXLKtYEqW/0BAwZg/vz58Pb2xq1bt9CkSRN4enqiX79+cHV1hYeHBy5cuMD8IDM2NmadnV5aaGBTClwZ7XHp3sqliR+Xjraqqqq4desW4uPjWVlHSLPsw7U+l9pcjpU//vgD27Ztw/z58zFhwgQ0btwY7dq1w9evX7Fq1SrmmKywzYMGDYKtrS0rbS5NEysC24m5devWCAgIwPr163Hp0iUcO3YMwP+WDoWfnby8PExNTeHs7Mx6X8agQYNw9uxZBAYGYtSoUaXWMzQ0xPbt2zF79mwmfw4bBg4ciMWLF2PTpk3w8fFhlkdr1aoFe3t7WFpaMnVzc3OhrKyMvn37Vru2oaEhsrOzWS9z2tjYiC2rl0X37t2xf/9+ZGdn48mTJ8jMzGSysP/xxx+s8tb8yOXLlzmzdOBSuyr0p06dCltbW2RnZ6N58+ZM+ejRo6GtrY3IyEjk5+dDU1NTKvNOaaF5bCTg4uIisVxHR0fsFnViYiJMTEwwevRo1uvEFy5cwPLly5lERkDJL/lFixaJBCG5ubk4fPgwNDU10atXr3J1/fz8cPbsWezfv5+VoZyZmRkcHBxE1j7LIjc3l3G0/fHOkJDmzZvDyspKKkfbuLg4hIWFwcTEhNWvtpcvX+LDhw+sJzgu9bluO1djRUhycjK8vb1x6dIlkfcASvZhde/eHaNHj2ZtaigkJCSEMU3s3LkzFi9eDB0dHVy+fBmLFi1Cbm4ugJINtJMnT4azszPr9v7222/MEitX5Obm4v79+xItLDQ1NVmPbSGFhYVISkpi9pSUh7TjREh6ejquX7+OjIwMNGnSBH369Km0BGhcalMolQkNbH6Sihrt5eXlleveyiU/YyhHCKl0R1tK6VTVWHnz5g0+fvzI/KJt3749J6cWqso0kUKh/DehgQ2FQqkx5Obm4tu3b2jatGml20BQZIfJkyejX79+sLCwEFkS+S9rf09+fj7i4+MhJycHPp9f6o/RuLg4xMXFiSw3Vqc2W2hg8wvwqxvKlQeXbrlcO/HKatv/qw7F6enpSE5OhoaGhkjgcuzYMRw8eBBv3rwBANStWxeGhoZwdnaWuOG/NLKzs3HmzBlkZmaiV69ejF1KYmIivLy8REz8pk6d+lPZgoGSTMahoaEiNi1Dhgyp0N4PoGSp7tSpU4iKisKrV6/w6dMnyMnJoUmTJlBTU4OpqSmMjIwqFPRxqZ2eno6zZ88y/lzCpUpFRUXGn8vc3JzVMh7wP+sNOTk56OnpwdraGgMHDqyUuVVWtYWcO3cOHh4ejM9fixYt4OTkJDHAkNbag0ttaaCBjRRU5iRUlYZyldFuLt1yudSW5bZz3S9cOvFype3k5IQHDx4gPDycKRP6O/F4PLRr1w4NGzbEmzdvkJ2djd9//x3+/v6sfv1+/PgRNjY2SE1NZSxJnJ2dYWBggFGjRiE7Oxvy8vLMpt42bdogICCAVXCzcOFCGBkZiRw+SE9Ph729PZ4/fy6yqVxeXh4LFy7ExIkTWfWJEF9fX2zatEksr8z38Hg8qKmpYevWrVIZqHKpfejQIWzevJkZz/Xr1xexavny5QuAkmBVuNm9PAQCAQQCATIyMvD+/XvweDw0a9YMFhYWsLKy+qkTWLKqDZQkIhw3bhzk5OSgq6sLBQUF3L59G3l5ebC2toaHh4fIHRZpgg8utaWGk3zGMo6zszMJDQ0VKUtLSyPDhg0jAoGA8Pl85p+qqirx9fWVSn/16tViOnw+n2hra5MePXowj/X19cmTJ09+iXbPmDGDmJiYiJTNnTuX8Pl80qNHD2JnZ0dmz55Nhg4dyvwtbNP7c6kty23nUvvt27dER0eHGQ8CgYCsW7eOPHr0iHTr1o0oKysTQ0NDoqWlRfh8PtHR0WFtU8CltoGBAVm8eDHz+MWLF4wlQUJCAlNeUFBAvL29CZ/PJ8uXL2elvXHjRqZ+eHg4WbZsGdHQ0CAzZ84k+vr6JDo6mhQVFZGsrCyyatUqwufzyapVq1hpS0plP2bMGMLn84m9vT25dOkSiY6OJgcOHCA6OjpEWVmZREdHs9ImpMSags/nk8GDB5PDhw+T8PBwcvjwYWJkZESGDRtGXr9+TaKjo4mbmxtRUVEhgwYNErG2qC7t4OBgwufziampKTlz5gz58OGDWJ0PHz6QoKAgYmJiQgQCAQkJCSlXV9jfRUVFJDw8nMycOZOoqqoy43HUqFHE39+f5ObmsmpnTdAmhJDp06cTVVVVcv/+faYsLS2NTJo0iQgEAuLk5ESKioqY56Sx9uBSW1poYCMBLichPz8/wufzyejRo0l4eDh59uwZCQ8PJ2PGjCH6+vokJSWFpKSkkD179hBNTU3Sq1cv8u7du2pvt56eHlm6dCnzODY2lvD5fDJ+/HgR/xtCCDl37hxRVlYmCxYsqHZtWW47l9rLly8nfD6f+Pj4kGfPnpE9e/YQVVVVMn78eDJs2DDy9u1bpu6BAwcIn88nLi4u1a7drVs3snnzZubx0aNHiUAgIA8ePJBY387Ojujp6bHSNjMzI2PHjhUpGz16NBEIBOTq1ati9W1sbMjgwYNZaf/43fz3338Jn88nc+bMEasbHx9PVFVViaOjIyttYTv19PRIdna2SHl2djbR09Mjbm5uTFloaCjh8/ki/Vhd2sI+LM3D6XtycnLI4MGDiY2NTbl1Jc2FGRkZZP/+/cwPAYFAQDQ0NMjixYulCiJlVZsQQnr37i3Rl62wsJAsWbKE8YsT+qVJE3xwqS0tdHcdCx4+fIiYmBgYGxtjz549GDx4MLS0tGBra4ujR4+iVq1arD1jjh8/jj/++AO+vr7Q19dH165doa+vj4MHD6J27dpYv349fv/9d9jb22Pfvn349OkT9uzZU+3tltYtV5r0/lxqy3LbudT+3om3a9eusLe3h66uLu7evQs3NzcxJ95evXqxduLlUrt+/foix9KFezG6du0qsX7Xrl1Lzd78I8K9O98jzLWhpaUlVl9LSwupqamstH/k4cOH4PF4mDZtmthznTt3xsCBA3H//n3Wes+ePYOBgYHYCcfffvsNBgYGCAsLY8oMDQ2lslPhUjshIQGDBw9G/fr1y62rqKgIQ0NDJCQksNL+kaZNm2Ly5Mk4d+4c/Pz8MGLECMjLyyMwMBATJkyQyjJGVrVzcnLEMn8DJVsgVq9ejXHjxuHSpUtwdHREQUGBVO3kUltaaGDDgsqchF6+fIn+/fuXaij3vQ/K94Zy1d3uRo0aieSuEa61t23bVmL9tm3bsraZ4FKba31Z1U5LSxNLKKisrAwAUFNTE6uvoqIiZpNQHdrq6uq4du0aMzF27doVhJBS1+nj4uJEgsOyqFevHmOfIkT4WLjP43s+f/5c4U2dQr2OHTtKfL5Dhw7IzMxkrUfK2CrJ4/GYAFCImpoaa18sLrVr166NrKwsVnWBklQBlZGCQF1dHStXrkRERAQ8PT2hra2NpKSkn9b91bVbtmyJd+/elfq8m5sbJk6ciPDwcMyaNUvs+1Bd2tJCAxsWVOYkVBFDubIGS1lUZru/d8sFIOKWKwlp3HK51JbltnOpXZ4T749I48TLpfbEiRORmpoKZ2dnfPnyBXp6elBXV4erq6uIl1lBQQF27tyJ27dvY9CgQay0//jjD4SHhzMT7rdv33DlyhXUqVMHISEhInW/fPmCq1evSrUB//uNk8LgVPjZ/sjnz59Z3cUQ0qVLF1y5ckUsyMjNzUV4eLhYO79+/craQoBL7Z49eyI4OJiViXBkZCRCQkKk9tEqizp16sDCwgKHDh0SufNUU7W7dOmCO3fulFlnyZIlmDx5Mq5du8b6jj7X2tJCA5tS4GoSEhrKpaeni5RXhqEcl+3+66+/kJWVBQcHByQnJ4u45V69ehVFRUUASpydlyxZgocPH8LU1LTatWW57VxqC514hcs0Pzrxfo+0Trxcavfr1w8ODg64cOEC9PT04OTkBIFAgNevX8PS0hIGBgawsLCArq4udu3ahXbt2sHR0ZGV9pgxY5CSkgJLS0u4ubnB0tISqampcHd3x8aNG7Fx40Zcu3YNQUFBGDt2LN6/fy/VMsDOnTuhrKwMZWVlzJ8/HwBKvdP0+vVr1kebAWDs2LFIS0vDyJEjcfLkSdy4cQMnT57EyJEjkZ6eDmtra5H6z549Yx2Ucant5OQEHo8HOzs7TJkyBfv27UNYWBgiIyNx+/ZthIWFYd++fZgyZQqmTJkCOTk5zJ07l5W2tEhzkktWtQcOHIiUlBRcv369zHqLFi2Cvb29VHdVuNSWFnrcWwLCXAI/8vfff0v0QJk8eTI+fPiAc+fOlat99epVTJs2DY0bNxYzlMvKysLatWtFzvzb2NigTp06OHr0aLW2GwBOnjyJlStXAgDjlnvlyhUUFxdLdMv19fVF3bp1q11bltvOlfa1a9fg4OCAxo0bS3TiFe7HEjrxvnv3DkuXLhUzPKxqbSEXLlzAli1b8Pr1a4nP16lTB+bm5nBycmKda4YQghUrVuDkyZMghEBBQQHz5s2DnZ0dtm3bBi8vLxHfKA0NDfj6+rK6O1HaEeXBgweLHetOT0+HgYEBhg0bhrVr17JqOwCsWrUKR44cEZkDCCEYOnQoNmzYwJTn5uZizpw5MDQ0xJgxY6pd++nTp3B3d8e///4LAGJzmPASpaGhAXd3d1aebFFRUVBSUuIkoJBVbaDk7uiFCxfQsWNHJkdTWZw6dQqpqamYNWtWtWpLCw1sJMD1JHTw4EFs2rQJBQUFIoZyU6dOFfFtys3NhaenJ/r27QtjY+NqbzcA/Pvvv4xbrqSh8zNuuVxqy3LbudLeu3cvvL298fnzZzRp0gSurq4wMzPDiRMn4OHhgeLiYhEn3i1btrC2y+BS+3vi4uIQGxuLjx8/ghACRUVFdOzYERoaGlIt5XzPu3fvkJqaig4dOqBx48ZM+c2bNxEREcGY+JmYmHCSTDMtLQ2xsbHo0qWL1DmyHj58iPDwcMbPqX///pW2dMOlNlDiXxcdHY3Xr18zwfr3Cfoq2/2bUnOhgc1PUtFJqLoN5X5m8gRQqW65VanNtb6saRcUFIg58QIlF5mfdeLlUptCoVBKgwY2FAqFQvnPkJGRgYcPH+Lr169QUlJCt27dKs1XTBa0CwsLce3aNWRmZkJLSwt//PEHgJKlJF9fXyYruK6uLrMV4lfQlgYa2FAoFJmCq8nzy5cvyMnJEdu0e+3aNRw8eBCPHz/Gt2/f0KZNGxgbG8Pe3l7q5S6u/JZcXV3Rr18/DBo0CAoKClK9tjq1AW4+z4CAAKiqqjJpBoTvs2bNGvj5+TEb7wGgXbt28PT0ZH3nUFa1gZIDIxMmTMDTp09BCIG8vDzWrVsHHR0djB49WuSYPo/Hg7KyMo4cOcJqnHOpLS00sJFAVTms/khsbCzj56SkpIT+/fujYcOGUuskJSXhzZs36Ny5s8gkffr0aURHR0NOTg4DBgzA4MGDpdLl0iCQa/NBWW071/3C1VjhSpvLydPFxQU3btxAREQEU7Zv3z5s3LgRhBDUrl0bDRo0QGZmJng8Hvh8Po4ePcraz41LvyXhwYFGjRrB3Nwc1tbWrDbZVrc2V5+nQCDArFmzRDamurq6IiAgAK1atcLgwYPRtGlTPHr0CFeuXIGioiICAwNZbQeQVW0A8PHxwebNm6Gnpwc9PT1cv34d//77LwYPHozQ0FAsWbIEurq6yMzMxO7duxEaGopp06axOonGpbbUcJHOWNYRpq1WVVUl06dPJ2FhYUwa6J9l69at5Pbt2yJlnz59Ivb29kQgEDCeTgKBgOjo6JCLFy9Kpb98+XJGR1VVlezbt48Q8j+Poe/9e5ycnFjrZmRkEH19fZH27du3jyQmJjK+QEJPE6HPVUZGRrVry3Lbue4XrsYKl9p79uwhfD6fTJ06lRw+fJhMnTqV6OjokKVLlxIdHR0SFBREUlNTyZMnT8isWbMIn88nW7ZsYaVtZGRE5s+fzzxOSUkhqqqqZMCAASQiIoIp//jxI3FzcyN8Pp9s2LCBlTaXfkuEEObz79atG9OvVlZW5OjRo+TTp0+sdapam6vP80drgqSkJCIQCMjw4cPFrCHOnTsnlaeYrGoTQsiwYcOIhYWFSJm5uTkRCATkn3/+ESkvLCwkZmZmxNTUtNq1pYUGNhLg8/nEwsKC9OvXj/ki9+3bl6xfv17EaK+i2j96gUyfPp15zwMHDpCgoCDi4eFB1NTUiJqaGnn69Ckr7QsXLhA+n0/MzMzI2rVriYWFBVFWViYHDx4k3bp1I/v37ydxcXHk6tWrZPjw4UQgEJDg4GBW2lwaBHKpLctt51Kby7HCpTaXk2f37t3Jxo0bmcd+fn5EIBCIBDXfM2rUKDJo0CBW2lz6LRHyv3klOzubHD58mFhaWjJzl7q6OnFyciK3bt1irVdV2lx9nj/Os/7+/kQgEJCbN29KrD927NgK+37JijYhhGhpaZG1a9eKlK1du5YIBAKxsUkIIatWrSLq6urVri0tNLCRQFW4twp5/vw54fP5ZNKkSSQ/P1+k7p07d4hAICALFy5kpT1hwgTSr18/8uXLF0IIIXl5eURfX5+oqamRv//+W6RuVlYW6dGjB/nrr79YaXNpEMiltiy3nUttLscKl9pcTp7a2trEw8ODebxnzx4iEAhKNWhct24dUVNTY6WtqalJ3N3dJT7n7u5OevfuLVJma2tLjI2NWWkTIvkH09OnT4mHhwfR1dVl5i59fX2yY8cOkpyc/Etoc/V5/thmb29vIhAISr3DtHr1atKtWzdWbZZVbUII0dHRIWvWrBEpW7NmDREIBGLGuoQQsnLlStb6XGpLC808XAa1atWCvr4+du7cievXr2PRokXo3LkzHjx4ADc3N/Tr1w8uLi6lprhng9DYcM6cOWIb83R0dNC3b19ERUWx0kpMTIS+vj6Tqbh27doYMGAACgsLYWZmJlK3UaNGGDhwIJ48ecJKm0uDQK7NB2W17VxqczlWuNSuVauWWC4f4ePvN1YK+T5fTnkIBAIRrzbhvoXSvHiSkpLQqFEjVtplteFn/ZZKQyAQwNXVFTdu3MDmzZvRp08fpKWlYefOnTA0NISdnV21a3P5eX6PcO9ZWbmSKpqTSJa027Vrh1u3bjF9WFxcjJs3b0JOTg7Xrl0TqVtQUICIiAjWe7241JYWGtiwhCv3VqFTMZ/Pl/h8ly5dRIwQyyIrK0vM9Vn4xZDkIfT777+LOCWXBZcGgVybD8pq27nU5nKscKnN5eQ5atQoJCYmYt26dSguLsagQYPQoUMHrFixQswhPDAwEFeuXJGY0VsSXPotlYeCggJMTU2xb98+XLlyBbNnz4aSkhJrR3Uutbn8PAMDAzFx4kRMnDgRx44dAwC8evVKYt2UlBSpDorIqvbw4cMRHx+PiRMnwtvbG5MmTcKLFy8wZ84crF69GsePH0dCQgKio6Mxc+ZMJCUlQV9fv9q1pUWeE9Uajrq6OtTV1bF06VJcuHABp06dQnR0NOvXfx99C0+L5OfnS9zpn5+fz3qCa9y4sURTy9J+4Xz+/Jn1iQ6hQaCzszPq1KkjZhA4adIkpq60BoFcasty27nU5nKscKk9fPhweHh4YOLEiejbty9u3ryJFy9ewMnJCatXr8bXr1+hra2NzMxM7N27F0lJSZg8eTIrbTMzM1y/fh0HDx7ElStXMGjQIBgaGuLAgQMYNGgQ1NTU0LBhQ7x48QJJSUlo3Lgx5syZw0p77NixWLx4MUaOHIlJkyYxViq+vr5IT0+Hra2tSH1p/JakoVWrVpgxYwZmzJgh1ZzFlTaXn2dycjKSk5NFyi5cuCDmMP/lyxdERkayDlJlWXvkyJG4du0arl+/znxG48ePx9SpU/Hy5UusWLFCxDakQ4cOmDZtWrVrSwsNbH4CocOqhYWF2EAsC19fX5w+fRoAmKOfCQkJEpcX3r59yzoi79ChAxITE0XKpk2bhilTpkis//btW9ZGe2PGjIGzszMsLS2hpaWF6OhopKamYu3atXBzc8P79++ZCejgwYN4//49Ro8eXe3astx2LrW5HCtcanM9ea5btw5dunSBj48P9u/fz1iefP36VeRi3bt3b7i7u6NNmzasdC0tLREbG4sjR47A3d2dKSf/77f0fZCam5uL2rVrS2X0WhEq0w6hotpcfZ5xcXGs2/rmzRtYW1tDT0+PVX1Z1QZK7rD5+PjgwYMHSElJQadOnZjVgjVr1kBTU1PENmTs2LGsU45wqS0tNI+NBCTlEqgsDAwMJJbb2NhgxowZImWZmZlMno9NmzaVq+3p6YmjR4/i7t27qF27dpl1P378iAEDBsDGxgbLly8vV5twaBDIpbYst51LbS7HCpfaQiRNnoQQ+Pv7V8rk+e3bN0RERODx48diPlS6urpo37691JoAd35LgYGBUFZWrrT8MlWlLYTrz5Py34IGNhLg2mGVLa9evcK1a9egqakJdXV1Vq8pKipitc/i5cuXuHHjBnr37o2uXbuybhOXBoFcmw/Katu50uZyrHA9DikUCqU0aGBDoVAolBpJXFwcMjMzmf1RQIlFQVBQEOLi4qCgoAAdHZ0KbWKVRW0vLy/07duX9Q/lX0VbWmhgQ6FQZJKCggKxFAmvX79GTEwM5OTk0KtXL7Rs2bJS3quoqAgvXrxgvKJ+xmolKysL8vLyUFRULLVOSkoKkpOTK3UfjLKyMkaMGIGVK1dWmuavql1QUABHR0fmZFXDhg2xbds2dOvWDRMmTEBcXByzmZ3H46Ffv37w8vKCvHz5205lVRv4nz1G586dYW1tjWHDhkltw1Id2tJCNw9LgGszPK4dUL99+4bw8HDcvXsXr1+/Zo6YKioqokOHDtDS0oKBgQHq1q0rla40xMTEICkpCZaWljKlzbW+LGj/6g7FwcHBWL9+Pd69e4eOHTvC3d0dOjo6OHLkCNatW8fkP1FQUICLiwvGjBnDSjcyMhLt2rVD27ZtRcr37duHPXv2ICcnhynT0tKCh4cH891lQ1RUFNzd3ZmN1d26dcOCBQugo6MjVvf06dPYtWsXnj59ylq/PEhJQtZK0/uVtf39/XH16lUIBAL07t0bkZGRWLhwIczNzfHy5Us4OjpCR0eHOW0VERGBQ4cOscq/I6vaQhQVFREfHw9PT09s2rQJ+vr6zCbksvLlVLe2NNA7NhLg0gyPawfUsLAwuLu7IyMjo9TJgMfjoVmzZnB3d4ehoSErXWlxcXFBUFBQpU7MVaHNtf6voi2rDsWPHj3CyJEjUbt2bXTq1AmJiYmQl5fH9u3bMWXKFAwYMIBJFufn54fPnz/j+PHj6N69e7naysrKmDlzpsihgS1btsDHxwf16tWDrq4umjZtitjYWDx79gwtWrTAmTNnWP0qjY+Ph7W1NfLz8/HHH39AQUEB8fHxqFWrFhwdHTF9+nSR+jt37pQqsJEUHP1ITk4OFBQUmB80PB4Pd+7cqZHaNjY2+PTpE4KDg6GgoID8/HwMHToUKSkpWLJkCcaOHcvUzcvLg4mJCRo1aoTAwMBy2yOr2sD/DsaYmJggICAA586dw4cPH8Dj8dCiRQsMHz4cVlZWFUo1wKW2tNAEfRKIiYlBr169mMepqanYsmULWrVqhX379uHhw4eIjIxEZGQkRowYgbi4OHh5ebHSPnr0KJ48eYL+/fvD1dUVffr0gYeHB7Zv347Pnz/D09MTV69eRWBgIAwNDfHkyRP4+Piw0o6MjISjoyMIIZg9ezb8/Pxw+/ZtxMbG4vHjx7h9+zb8/Pzg6OiI4uJizJ49G7dv365QH1FkG1dXV1y+fFmkzN3dHceOHUOzZs0wbtw4ODo6YuDAgUhKSsLUqVPx5s2batfeu3cv6tati9OnT+P06dM4e/YsCCFwdnaGlZUVvLy8MGHCBDg7O+Pw4cPg8Xg4cuQIK+0ffwi8e/cO+/btQ7t27XDmzBl4eXlh9erVOHPmDJycnPD+/Xvs27ePlba3tzcKCgqwbds2XLhwAefOnUNAQAA6deqE7du3Y8OGDax0SuPTp0/Iz8+HoqJiqf+EP6SEj9nmDpJF7Tdv3mDAgAHMUmXt2rWhp6eHoqIiGBsbi9StU6cOBgwYUGoSvJqi/T2dOnXCokWLcO3aNezcuRMDBgzAx48fsWfPHhgbG2PChAkICgrCt2/ffiltttClKAmkp6fDyMiIeRwREYGioiKsXr1aJBlSkyZNsHLlSjx//hwXLlzAggULytUODg6GQCBggpXx48dj2LBhOHXqFDZu3MiknG/dujW2bt0KCwsLhIaGsrJ23717N5o3b47AwECJewAaN26Mxo0bQ11dHTY2NrCyssLu3btFgrjS+PFCVR7SpIPnUptrfVnV/pE3b97g1KlTUFFRwcGDB/Hbb78xz/3zzz9YsGAB9u3bJ5KDpTq0nzx5AgMDA3Tq1AlAyR0fAwMDnDt3Tixxm0AgQL9+/XDv3j2p2wwAt27dQmFhIRYuXMjYKwixt7fHhQsXcPXqVTg7O5erFR0djQEDBohkKFdTU8PJkycxe/Zs7N+/HwUFBViyZEmF2qqnp4eIiAgMGTIEc+fOlbh8LRAIYGZmBg8PjxqvXVhYKLbv5Ptg4UcUFBRQWFhYo7UlIScnB0NDQxgaGuLDhw8IDAzE6dOnER0djbt378LDwwOmpqZSf65ca5cHDWwkULt2bXz9+pV5LMyiWtrtck1NTda/ClNSUmBtbS1S1qdPH8THx6N///4i5XJycujduzf8/PxYaT9+/BgjRoxgtbGxZcuWMDU1RUBAACvtmTNnSrVGSghhXZ9Lba71ZVX7R4S39hcsWCASeADA0KFDcfz4cdy6davatd+9eye2B0aYJE9SbpmOHTtW2Drg3bt34PF46NGjh8TnNTQ0mESb5fHx40eJx9nr168PLy8vzJ07F4cPH0ZhYSGWLVsmdVt9fHxw+vRprFu3DuHh4Vi5ciV0dXWl1qkp2m3btkVMTIxImTDAvXPnDgYNGiTyXHR0NOskkbKqXR7NmzfH1KlTMXXqVNy/fx8BAQE4f/48AgICfjr44FJbEjSwkUBZZniSklRJY4bHpelbrVq1mEzGbMjPz2d9IVRQUECLFi1gZWXFqn5YWBiePXtW7dpc68uq9o9kZGQAKNnQKglVVVWcOHGi2rUbNGiAz58/i5QJf+H+eEJKSEUNCIXHbIVmnj9Sp04d1t+f5s2bIysrS+JzCgoK2L59O+bNm4fjx4+jsLCwQqeurKys0LdvXyxfvhy2trYYMWIEFi5cWObpq5qqbWJigq1bt2LRokXo168fbty4gUePHmH8+PFYuXIlFBQUmKzdXl5eiIuLw8iRI2u0tjRoampCU1MTrq6uuHjxosxoC6GBjQRGjRqF+fPnY926dVi4cKGIGd6uXbtENgsKzfDMzc1ZaX9v+sbj8cRM374/0SKt6Vu3bt0QHByM8ePHM7fqSyMhIQHBwcGsNlUCJSZ+6enprLMxJycns77IcqnNtb6sav+IrDgU//7773j79q1I2dChQ8V8dISkpKSgRYsWLFtasvwntEd59+4dgJKlNEl3W1JTU8XMPkujY8eOiIqKKvV5OTk5bNmyBc7OzvDz82P9Q+lHWrVqBW9vbwQFBWHt2rW4evUq3N3dS814XlO1J06ciAsXLuDMmTPMPiwDAwO4uLjg1atXcHBwYOoSQtC0aVOxDdw1Tbsi1KtXj7PTp1xq08BGAlya4XFp+jZz5kxMmjQJNjY2MDc3R58+fdChQwfml09ubi5ev36NW7du4dy5cygoKGB90VRTU8PTp0+RlpYm0aH5Z+BSm2t9WdUGSoJy4cVWeJT51atXEoOEijgUc6GtpqYm9ivvjz/+kHjsOj8/H1FRUVKZBD59+lTsJFJoaKhYYCPUZpuMbMCAAVi3bh1iYmJKXdqSk5PDxo0bIScnh3Pnzv3U8VhLS0v06dMHy5cvx8yZM2FsbFxpx21lQbt+/frw9/fHpUuXkJycjC5dujDJ7LZv3w5vb2/cuHEDBQUF0NTUhIODA+vvmKxqA8CsWbMqbRmxKrWlhQY2pcCVGR6XJn5aWlrw9vbGsmXL4OfnB39/f4n1CCFo06YNVqxYUeokK0k7IiICiYmJrL5IbHW51uZaX1a1Adl0KJ42bRpMTEwkbrL8kbi4OPTs2RPDhg1jpV3aZm1JS1Hx8fHQ1NRkbVRpYmKCjIwMfPz4scx6tWrVwvr169GuXTukpqay0i6Nli1bwsvLC2fOnMGaNWsqNc+MLGgrKCgwhzG+p169epg3bx7mzZtX4TbKqjYX/odVoS0tNI9NOXBlhsel6VtBQQFu3brFJOj7/Pkz025hgr4+ffqUuieBQvmeZ8+e4dSpU9DT00O/fv1kRpvyP7Kzs5GamorGjRtX+t0/WdWm1FxoYEOhUP5T7Ny5E7t378aTJ0+quymUamTQoEEwMzODk5PTf0b77Nmz6N27t1T7zn4FbWmhCfooFMp/jor+nhs0aBC2bNki9eu8vLzw8OHDCr1nZVHRttdU7eTkZCaVx39Fe+HChdDX18e0adMQFhYm8SRuReFSW1roHptKIDExER8+fJDKsI4Qgjt37iAqKgqvXr3Cp0+fICcnh6ZNm0JVVRVGRkYVNvDj0nW2LH41I7xfRV/WtCvT8LEqtauC5OTkcvfJSGLbtm3Yvn17tRoEVrTtsqg9fPhwVvVCQ0MRGxsLoOTUHpu8RLKqLaS4uBhXr17FtWvX0KRJE1hYWMDa2hqdO3dmrVEd2tJAA5tKwMfHRyr/nwcPHmDJkiWMGZ7w6LfwV2RgYCDWrVuH8ePHw8nJSWLGSUlI4wx78OBBqZ1hy+NXM8L7VfR/RW0uDR+5NpPkCq4vKlwaBMrqxZYr7adPn4rMqZLg8XjIyspi8gux/QxkVVvItGnT0L17d5w6dQpXrlzBgQMHcPDgQairq8Pa2hqmpqYVziHEpbY00D02lYA05oPPnj3DyJEjUVRUBAMDAygpKSE5ORnh4eHo1KkTpk2bhhcvXuD8+fN48eIF9PT0sGfPHlaD99ixY1i5cqWIM2xGRgbMzc1x9OhRODg4iDjDPnr0CM7OzqycYWXRCK8q9GVVm0vDRy61K4PSDCYFAgGri8r3z/N4PFbfe64NArluu6xpW1hY4M2bN3BycsL48eNLfe8RI0ZInflWVrWFr501axbz3czMzMSZM2dw+vRpPH/+HDweD3Xr1sWQIUNgZWXFag6qCm1poXdsJBAXFydV/dIyikpi+/bt4PF48PPzg4qKClP+5MkTjB07Fm/evMGsWbMwc+ZMbNiwAQcOHICfnx9GjRpVrvbp06fRvn17+Pv7izjDHjp0SMwZVk9PDyYmJjh37hyrwObTp0+oW7dumRefT58+MWZ10sClNtf6sqpdluGj8H8hPj4+2Lx5M/bt28fKF4lLbS7h8/mcXlSA/xkELliwAFeuXEFAQAAiIiKwZ88e+Pj4QEtLC9bW1jA2NmaC1epuuyxqnzp1Cl5eXli3bh1CQkKwevVqdOzYUaq21TRtSTRp0gS2trawtbVFbGwsAgICEBISgqCgIJw5cwbt2rWDlZUV65QjVaVdLoQiBp/PJwKBgPU/YX026OjokIULF0p8ztnZmRgaGjKPi4uLydChQ8nIkSNZa69atUqkzMPDgwgEApKRkSFW393dnWhoaLDSnjp1KlFWVibr1q0j3759k1iHz+cTV1dXVnpVpc21vqxq8/l8smPHDuZxYGAg4fP5JDQ0VGL94cOHE1NT02rXrgx27Ngh8ftaUFBAtm/fTlRVVcmYMWPIy5cvxepUVn9/z/v374mPjw8xNjZm5pIePXpI9T5ctl1WtQkh5OnTp8TS0pKoq6sTb29vUlhYWCm6sqpd1jgUkpeXR86ePUsmTZrEXOOqW1ta6KkoCcjJyaFZs2awtLRk9U+aXDZfvnwp9Rd4s2bNkJaWxjzm8XiMQSYbuHSG9fHxwapVq3Dq1CkMGzaM9TJQdWtzrS+r2j/CxvDxx4R7v4J2ZSIvLw9HR0cEBATg69evsLS0xJ49ezg/3SE0CDx//jyOHz8OKysrEEJYG9QC3LZdVrWBkrs9AQEBmDp1Knbu3AkbG5tKO+Yvq9rlUbt2bZibm+PgwYMICwvDzJkzZUL7e2hgI4E///wTcnJyWLt2Lat/PXv2ZK3dtm1b3LlzR6IR5p07d8RyAEgyzSxLuyxn2B+R1hnWysoK586dQ8eOHWFra4tly5YhNzeX9eurS5trfVnV/p7KNHysSm0uqM6LiqamJlavXo2bN29i7dq1Ur9eVi+2XGrLyclh1qxZCAgIAI/Hw8iRI7Fx48b/tDZblJSUOMsozKU2DWwkoKamhnfv3jGuxJWJiYkJnjx5AmdnZ7x8+RL5+flITEzEwoUL8fTpUzFb+qSkJNYZN01MTPDvv/9i0aJFOHfuHBYuXCjiDHv9+nV8/foVKSkpcHNzQ1xcnFRp8oH/mdWtXbsWFy9ehKmpKcLDw6XSqA5trvVlUfvy5ctwcXGBi4sLwsLCAJQYPkpCGsNHrrV/FkVFRfz+++9l1qnui8rPGATK6sWW6z7n8/nw9/fHjBkz4OvrW2m6sqQ9fPhwKCsrV1LLqk5bWujmYQmoqKggMDAQsbGxGDBgQLn1O3bsCC0tLVbaDg4OiIiIwD///IPg4GCmnBCCP//8E46OjkxZbm4ubt++zdrrpiqdYWXBCK869GVJmyvDR661fxbhhkY2CC8qe/bsgZeXV4XfszoMAiur7TVJW05ODjNmzICpqSkSEhLEUhLUdO2K3AX8FbSlhR73rgby8vJw6NAhXLlyBRkZGWjSpAn69esHW1vbnz7jX1BQINEZ9uvXrxKdYZWUlH767xGa1WVnZ//UiZGq1uZa/1fWLm1PS7169cT2gD1+/Bi7d++GqampRHO+qtQWkp6ejrNnzzJ+aMLlOaEfmra2NszNzaVaai2PV69eMRcVgUBQabpVAZdtl1Xt8vD19cWhQ4dKNUf9L2pzrV9p2pxsSab858jKyiJPnz4lqampMqXNtb6sav/K+Pr6ku7duxM+n0/4fD7R1NQk/fv3J/379yeamppMeffu3cmhQ4eqtG0HDx4kBgYGVfqelQWXbZdF7dJOz/2XtbnWryxtuseGI3bu3CmSp6amazdq1AgCgaDM/UC/ojbX+rKqzYbq0A4JCcGaNWugpKSE9evX4+bNm4iJicH169dx/fp1xMTE4ObNm/D09ESbNm2wZs0anD9/npM2SiInJwcpKSk/rZOVlVUpOtJQWW2vSdoU2YQGNhxCOLYAoNpVp821PtVmp33gwAEmCeWwYcPQrFkzsTrNmjWDhYUF/Pz80K5dO+zfv5+zNnKFp6cnDA0Nq7sZFIpMQgMbCoUiMyQkJGDw4MGoX79+uXUVFRVhaGiIhISEKmhZ5cN1oE6h1FToqSgKhSIz1K5dWyoLk8zMTNYmslwibe6h/Px8jlpCodR8aGBDoVBkhp49eyI4OBjm5ubo1atXmXUjIyMREhKC/v37V1HrSkdLS+uXSkJIodRkaGBDoVBkBicnJ0RGRsLOzg69e/dGnz590KFDBzRo0AA8Hg+5ubl4/fo1bt26hcjISNStWxdz586t7maDx+Pht99+E8vjUxqJiYmcJAilUP4L0MCGQqHIDJ07d8axY8fg7u6Omzdv4ubNm2J3QoR7UzQ0NODu7o7OnTtXR1NF6NChA4qKinD48GFW9V1cXBAUFMRtoyiUGgoNbCgUikyhrKyMkydP4sWLF4iOjsbr16/x+fNnEEJEEvR16tSpupvKoKqqipCQEOTk5DDeWRTukGQIXB7x8fHo0qUL85gQInEDt6xqc63PddulgZ6KolAoMkmnTp0wevRoLFq0CCtXroSHhwcWLVqE0aNHV1tQU9rErKqqCkIIYmNjWek0bty4XD+ryqayLiq/gvbw4cNZm2gWFRVh586dsLKyEil3dHREXFycWH1Z1Zb1tksDDWw4go3RHtWWDW2u9al2xbSzsrLKPW2UkpKC6Ohoqd7769evePXqldjJpDt37mDnzp3w8vIqNUApbWIeO3YsLl++jO7du7Nqw6JFi6QyOnV1dcWFCxdQUFDA+jU/UlrbZVE7MTERI0eOxNatW8vUfvz4MaysrLBz50506NCB1fvJqrast10qfjp3MYVCoVQhd+7cISYmJkQgEBCBQEBGjBhB7ty5I7GutCnafXx8iLq6OhEIBERLS4sEBwcTQgjx9PQkAoGAsWsQCARk06ZNlfL3VAbCNunq6pJVq1aRp0+f/qe1nz59SoYNG0b4fD4xNzcnsbGxIs/n5eWRjRs3ElVVVaKqqko2b95M8vLyarS2rLddGqgJZiUQFhaGuLg4zJo1i/Vr8vPzER8fDzk5OfD5/FKPgsbFxSEuLg6Wlpblak6ePBn9+vWDhYUFmjdvzrot0pCcnIxTp04hKioKr169wqdPnyAnJ4cmTZpATU0NpqamMDIyQq1a0t8M5FJblttOtf9HfHw8rK2tkZ+fjz/++AMKCgqIj49HrVq14OjoKOZWv3PnTuzatUvMaVwSkZGRmDx5Mpo3bw5NTU38+++/yMzMhKenJ+bPn49x48ahT58+SEtLw969e5n/+/XrJ3XfVISyDAIFAgHatGmDDx8+ID8/HzweDyoqKrC2toa5uflP7euRVe3CwkLs3r0bPj4+AIApU6Zg1qxZePToEZYuXYrExEQIBAKsWbNGamsQWdWW9bazhQY2lYDwBAObyRMAzp07Bw8PD+Tk5AAAWrRoAScnJ4nBizQTs0AgAI/Hg5ycHPT09GBtbY2BAwdCTk5Oqr+nNHx9fbFp06Yyk4fxeDyoqalh69atUjmHc6kty22n2qLMnz8fISEh2Lp1K4YMGQIAiI2NhYuLCxISEmBnZwdnZ2emvjTfH3t7ezx48AAhISFo3rw5srKyYGpqiry8PIwfPx7z5s1j6qampmLIkCEYMGAAduzYwartP0tZf4tAIMCsWbMwceJEnD17FqdOncLTp0/B4/FQu3ZtGBoawsbGBr1795b6fWVVW8iTJ0+wePFixMfHo3Xr1khPT0etWrUwbdo0TJs2TeoNrzVBW9bbXi6c3Af6j7F48WLWt7vv3btHBAIBUVVVJXZ2dsTBwYF0796dCAQCsnTpUlJcXCxSX5pb6Xw+n1hYWJB+/foxt3j79u1L1q9fTxISEqT+u77n0qVLhM/nk8GDB5PDhw+T8PBwcvjwYWJkZESGDRtGXr9+TaKjo4mbmxtRUVEhgwYNIjk5OdWuLcttp9ri9O/fnzg4OIiVf/78mUyZMoUIBAKyevVqplya78/AgQPJ4sWLRcpcXV2JQCAgSUlJYvUdHR1J//79WWlXBmX9LXw+n+zYsUOk7OnTp8TDw4Po6uoy84G+vj7ZsWMHSU5OZv2+sqr9PXfu3CHdunVj9A4fPlwhnZqkzbU+120vCxrYSMDX11eqfzY2Nqwnz+nTpxNVVVVy//59piwtLY1MmjSJCAQC4uTkRIqKipjnpA1sduzYQYqKikh4eDiZOXMmUVVVZQbWqFGjiL+/P8nNzZWqPwghZPTo0URPT49kZ2eLlGdnZxM9PT3i5ubGlIWGhhI+n082b95c7dqy3HaqLY6qqmqpe1vy8/PJjBkziEAgICtWrCCESPf9UVNTE2vHtm3biEAgEPlOCvH09CSqqqqstCsDaQMbIfn5+SQ4OJjY2dkRZWVlwufzibKyMpk8eTKr95VVbUJK9nWsW7eOqKiokG7dupHFixcTDQ0NoqysTDw8PMiXL19Ya9UUbVlvOxtoYCMBYSAg3CjI5h/bybN3795k7ty5YuWFhYVkyZIlhM/nE0dHR1JYWEgIqVhg8z0ZGRlk//79ZOjQoUw7NTQ0yOLFi0l0dDQrXUII0dTUJO7u7hKfc3d3J7179xYps7W1JcbGxtWuzbU+1a5a7QEDBogERj9SWFhIHB0diUAgIG5ubkxgwoY+ffqItXv79u2Ez+dLrO/h4UF69uzJSrsyqGhg8z1paWlk165dxNDQ8KfmFVnQvnfvHhkyZAjh8/nExsaGxMfHE0IIef36NRk7dizh8/nE0NCQ3L59m5VeTdCW9bazhSbok0DdunXRsmVLsY2IpeHv74/79++zqpuTk4P27duLlcvJyWH16tWoW7cujh49CkdHR2zbtk2qdkuiadOmmDx5MiZPnoyHDx8iICAA58+fR2BgIIKCgtC+fXtcvHixXB1SxlYsYSr771FTU0NMTAyrNnKpzbU+1a5a7Y4dOyIqKqrU5+Xk5LBlyxY4OzvDz88PjRo1YqULAG3btkVSUpJI2bhx42BsbCyxfnJyMlq2bMla/1egVatWmDFjBmbMmCH1MXhZ0l67di2OHDkCOTk5ODk54a+//mI2qbdv3x5Hjx6Fr68vtm7dCltbW4waNQrOzs5o0KBBjdWW9bZLA81jIwGBQICsrCwMHz6c1T9pzuK3bNkS7969K/V5Nzc3TJw4EeHh4Zg1axby8vIq408CAKirq2PlypWIiIiAp6cntLW1xSby0ujSpQuuXLkidlHKzc1FeHi4WB98/foVderUqXZtWW471RZnwIABePXqVZmBkJycHDZu3Ahzc3NkZ2ez0gWAbt264f79+yguLmbKmjZtKpIZVUhubi7u3LkDDQ0N1vq/Gtra2jVW29fXF6qqqggMDIS9vb3Ek3eTJk1CUFAQevTogRMnTsDc3JzV+8uqtqy3XRpoYCMBNTU15OTk4M2bN5Wu3aVLF9y5c6fMOkuWLMHkyZNx7do1HDp0qNLbUKdOHVhYWODQoUMICwtj9ZqxY8ciLS0NI0eOxMmTJ3Hjxg2cPHkSI0eORHp6OqytrUXqP3v2jHXAx6W2LLedaotjYmKCqVOn4uPHj2XWq1WrFtavX48ZM2awSpUAAHPmzEFQUBArF+63b9/CxsYGNjY2rLS5Zu3atTA0NKTa/8/8+fNx4sSJcjNQd+jQAUeOHMHixYuRmZlZo7Vlve1SwelCl4wSHh5Oxo8fT+7du8eqfmhoKKt1YkIIOX78OOHz+eTatWvl1t20aZNU+3fYrldXFA8PD6Y9wn98Pp/Mnz9f5DRXTk4OsbOzI8eOHfsltGW57VSbIkTaZIMU6Xj9+jXVrmJ9rrRpHpsqJisrCxcuXEDHjh2hq6tbbv1Tp04hNTWVVfK/qKgoKCkpSZ3jRRoePnyI8PBwZGRkoEmTJujfv3+l3XbmUptrfapdtdr/RXbs2IFdu3ZVipcOhVKToYENhUKhVCMZGRl4+PAhvn79CiUlJXTr1q3C2bUpFArdY1MpxMTEICgoiGrXAG2u9al21Wr/KgQEBIhlDC4sLMTKlSsxYMAAzJgxA/Pnz8fo0aNhbGzM+pQlhUIRhwY2lYC/vz9cXFyodg3Q5lqfalet9q+Cq6urmMeTu7s7jh07hmbNmmHcuHFwdHTEwIEDkZSUhKlTp3JyeIFC+S9A89hQKBRKFfPmzRucOnUKKioqOHjwIH777TfmuX/++QcLFizAvn374O7uXn2NpFBkFBrYSECSe25ZpKSkUO1fVJtrfapdtdo1BWHKhwULFogENQAwdOhQHD9+HLdu3aqOplEoMg8NbCQwc+ZMVrkshBBCWNen2lWrzbU+1a5a7ZpCRkYGgJKkgJJQVVXFiRMnqrJJFEqNgQY2ElBQUECLFi1gZWXFqn5YWBiePXtGtX9Bba71qXbVatcUmjZtCgBlBnRycnJV1RwKpUZBAxsJdOnSBenp6axyxwAlnjFsJ2aqXbXaXOtT7arVlmUCAwMZn6ucnBwAwKtXr6CmpiZWNyUlBc2bN6/S9lEoNQV6KkoCampq+PjxI9LS0qi2jGtzrU+1q1ZblklOTkZUVBSioqLw9OlTEEJw4cIFsXpfvnxBZGQklJWVq6GVFIrsQ+/YSEBLSwsRERFITExE69aty63fo0cPqv2LanOtT7WrVltWkSZb8Js3b2BtbQ09PT0OW0Sh1Fxo5mEKhUKhUCg1BroURaFQKBQKpcZAAxsKhUKhUCg1BhrYUCgUCoVCqTHQwIZCoVAoFEqNgQY2FAqlTPh8vsg/gUAALS0tjB07Fv7+/qjK8weLFy8Gn89nLAm4fh2FQpE96HFvCoXCiuHDhwMAioqK8ObNG8TExODevXuIjIzE5s2bq7VtBgYG/5lEfxQKpWzocW8KhVImfD4fAMSChps3b8Le3h6FhYXw9vaGvr4+52159+4dcnJy0KZNG9SrV48pLy+wKe11FAql5kGXoigUSoXo27cvhg0bBqDE76kqaNmyJTp16iR1cFLR11EoFNmDBjYUCqXCqKioAICYfUJQUBDGjBmDHj16oHv37jA3N8eePXuQl5cnplFQUIATJ07AxsYGurq66N69OwwMDODg4IDg4GCRuj/ulblz5w74fD6Sk5MBiO4HMjAwKPV135Oamoply5ZBX18fampq6N27N2bNmoWHDx+K1X379i34fD4mTJiAb9++YePGjczrBg8eDB8fH4l7jlJTU7FixQoMGTIE3bt3h46ODszMzLBs2TK8fPmyvG6mUChSQPfYUCiUCvP582cAJY7eQpYtW4aTJ0+iTp066NWrF+rWrYuoqChs3rwZV65cwcGDB1G3bl2m/sKFCxESEoImTZpAU1MT9erVQ3p6Ou7evYsvX77AzMys1Pdv3rw5hg8fjosXL+LLly/MPiAAaNKkSbntf/bsGSZNmoTMzEz8+eefMDIyQkpKCkJDQ3HlyhVs3LgRJiYmYq8rKCiAnZ0dEhIS0K1bN/z555+Ijo7Gpk2b8PnzZ8ybN4+pm5aWhuHDhyMzMxN8Ph/6+vrIy8tDSkoK/Pz8oKGhgT///LPctlIoFHbQwIZCoVQIQgiuXr0K4H/7cC5evIiTJ0+iVatWOHz4MDp06AAAyM3Nhb29Pe7du4ft27dj4cKFAErugISEhKBbt244evQo6tSpw+h/+/YNT58+LbMNnTp1wrp16xAVFYUvX75g3bp1UrV/wYIFyMzMhIODA+bNmwcejwcAuHDhAubNm4elS5dCW1tbzGn7/v370NLSwoULF9C0aVMAwKNHjzB69Gj4+vrC3t4eDRo0AAD4+/sjMzMTixcvxuTJk0V0kpOTUVRUxLrNFAqlfOhSFIVCkYqioiK8evUKS5Yswf3791G7dm1YW1sDAA4fPgwAmD17NhPUAICioiKWL18OHo+HEydOID8/HwDw8eNHAICmpqZIUAMAdevWhaamJmd/x507d/D8+XO0bdsWc+bMYYIaADA2NoahoSE+f/6M06dPi722Vq1aWLVqFRPUAEC3bt3Qv39/fP36FbGxsUx5RkYGAKBXr15iOkpKSmjfvn1l/lkUyn8eGthQKBRWCPeuqKioYMiQITh9+jQaNGiAzZs3o3379igoKMCDBw/A4/Fgbm5e6us/f/7MuF3/+eefqF+/Pk6fPg0/Pz9kZmZW2d9z9+5dAICpqSnk5OTEnrewsBCp9z1KSkro2LGjWLmw7P3790yZqqoqAGDFihW4ffs2CgsLf77xFAqlVOhSFIVCYYVw/wqPx4OioiK6du0KIyMjNGrUCACQlZWFgoICtGjRQuzuixAlJSXExcXh3bt3AEru5Hh4eMDNzQ1ubm5YtmwZOnbsCF1dXVhaWkJDQ4Ozv0fYBiUlpVLb+n2972ndurXE19SvXx8AmDtSAGBlZYWbN2/i/PnzmDRpEurVqwc1NTXo6enB2toazZo1+6m/g0KhiEIDGwqFwgpp9q+Ux/fLPkOHDkWfPn1w+fJlREREIDo6GsePH8fx48cxZcoUZj8OV3zfFrbPl/ea75GTk8PWrVthb2+Py5cv486dO3jw4AGio6OxZ88e7Nu3j9MAjkL5r0GXoigUSqXQuHFjKCgo4MOHD/j27ZvEOikpKQCAFi1aiJQ3bdoUI0aMwLZt23Dz5k3s3bsXioqK2LdvHxISEjhpb8uWLQGUbGCWhPAI+Y9trSgqKipwdHTEkSNHcPv2bUyePBm5ublYvXp1pehTKJQSaGBDoVAqBQUFBWhoaIAQgn/++Ufs+efPnyMuLg4NGjSAQCAoVYfH40FPTw8DBw5kXsfmvQFItX9FS0sLABASEiLxZNLZs2dF6lUmioqKcHJyAo/HY/X3USgU9tDAhkKhVBrjx48HAOzYsQNv3rxhynNzc+Hh4QFCCEaNGoXatWsDAJ48eYJLly6hoKBARCc7Oxv//vsvAKBNmzblvq/w7ktiYiLrturq6qJr1654+/Yttm/fLpJYLywsDKGhoahfv75IbpyKEBQUJDF4uX79Oggh+P33339Kn0KhiEL32FAolErD2NgYo0aNwsmTJzF06FCRBH0fP36EhoYGZs+ezdRPSUmBo6MjGjZsCDU1NTRv3hw5OTm4e/cucnNzMXjwYFb7TwwMDBAVFQVbW1vo6uqiXr16aNKkCRYsWFDqa3g8HjZu3IiJEyfC29sboaGhUFZWRkpKCmJiYiAvL481a9b89FLUpUuXsGjRIrRv3x5du3ZF3bp1kZycjAcPHkBOTg5OTk4/pU+hUEShgQ2FQqlUVq5ciR49euDEiROIiopCUVER2rdvj0mTJsHW1lYk63D37t0xd+5c3L59G4mJibh79y4aNWoEPp+PkSNHYujQoazec8KECcjOzkZwcDBzB0hJSanMwAYoOYIeGBgILy8v3LhxAxcvXoSioiIMDQ3h4OAAdXX1n+oLAJg8eTJat26NmJgY3L17F1+/fkWrVq1gZmaGKVOmMLYUFAqlcqDu3hQKhUKhUGoMdI8NhUKhUCiUGgMNbCgUCoVCodQYaGBDoVAoFAqlxkADGwqFQqFQKDUGGthQKBQKhUKpMdDAhkKhUCgUSo2BBjYUCoVCoVBqDDSwoVAoFAqFUmOggQ2FQqFQKJQaAw1sKBQKhUKh1BhoYEOhUCgUCqXGQAMbCoVCoVAoNYb/A63yWnN3cm+8AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.boxplot(df, log_scale=True, pvalue_list=mw.values[0].tolist()[:-2], positions_to_plot=mw.columns.tolist()[:-2])\n",
    "ax.set_title('Mann-Whitney U rank test')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2B_MW.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1a096508-06e5-4636-9185-702e21d56edd",
   "metadata": {},
   "source": [
    "## Statistics for porprotions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ae6d02a-e79e-4347-a119-09a50a37afa2",
   "metadata": {},
   "source": [
    "### Pooling smaples/coordinates by G-test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0b7731a8-31d6-4627-8023-5f77820fd375",
   "metadata": {},
   "outputs": [],
   "source": [
    "a, g = a2i.editing.pool_positions(df_a[df.columns],df_g[df.columns])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "efb8efe7-460e-40eb-a2f8-83e4e30960c3",
   "metadata": {},
   "outputs": [
    {
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       "      <th>11_16744616</th>\n",
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       "      <th>ADAR1-/-</th>\n",
       "      <td>21389.0</td>\n",
       "      <td>24274.0</td>\n",
       "      <td>26952.0</td>\n",
       "      <td>27495.0</td>\n",
       "      <td>23534.0</td>\n",
       "      <td>23572.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5647.0</td>\n",
       "      <td>4676.0</td>\n",
       "      <td>49063.0</td>\n",
       "      <td>...</td>\n",
       "      <td>31007.0</td>\n",
       "      <td>33980.0</td>\n",
       "      <td>37368.0</td>\n",
       "      <td>33850.0</td>\n",
       "      <td>25259.0</td>\n",
       "      <td>13276.0</td>\n",
       "      <td>26526.0</td>\n",
       "      <td>29461.0</td>\n",
       "      <td>several</td>\n",
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       "      <th>wild type</th>\n",
       "      <td>24607.0</td>\n",
       "      <td>26603.0</td>\n",
       "      <td>28564.0</td>\n",
       "      <td>29364.0</td>\n",
       "      <td>25691.0</td>\n",
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       "      <td>29916.0</td>\n",
       "      <td>32864.0</td>\n",
       "      <td>27261.0</td>\n",
       "      <td>17372.0</td>\n",
       "      <td>5198.0</td>\n",
       "      <td>23686.0</td>\n",
       "      <td>24636.0</td>\n",
       "      <td>several</td>\n",
       "      <td>wild type</td>\n",
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       "<p>2 rows × 238 columns</p>\n",
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       "           11_16744616  11_16748108  11_16752815  11_16752839  11_16752876  \\\n",
       "genotype                                                                     \n",
       "ADAR1-/-       21389.0      24274.0      26952.0      27495.0      23534.0   \n",
       "wild type      24607.0      26603.0      28564.0      29364.0      25691.0   \n",
       "\n",
       "           11_16755004  12_132769626  12_64421327  12_64439300  12_98597857  \\\n",
       "genotype                                                                      \n",
       "ADAR1-/-       23572.0           2.0       5647.0       4676.0      49063.0   \n",
       "wild type      25934.0           2.0       4443.0       4392.0      44439.0   \n",
       "\n",
       "           ...  X_48576328  X_48576551  X_48576569  X_48577089  X_48577487  \\\n",
       "genotype   ...                                                               \n",
       "ADAR1-/-   ...     31007.0     33980.0     37368.0     33850.0     25259.0   \n",
       "wild type  ...     28891.0     29916.0     32864.0     27261.0     17372.0   \n",
       "\n",
       "           X_48577626  X_48577946  X_48578090   region   genotype  \n",
       "genotype                                                           \n",
       "ADAR1-/-      13276.0     26526.0     29461.0  several   ADAR1-/-  \n",
       "wild type      5198.0     23686.0     24636.0  several  wild type  \n",
       "\n",
       "[2 rows x 238 columns]"
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     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "a"
   ]
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  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "84ce5ecd-dedf-45bf-a6b5-84537b41b26b",
   "metadata": {},
   "outputs": [
    {
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       "      <td>17.0</td>\n",
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       "      <td>28.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1166.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>...</td>\n",
       "      <td>20.0</td>\n",
       "      <td>47.0</td>\n",
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       "      <td>43.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>21.0</td>\n",
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       "      <th>wild type</th>\n",
       "      <td>25.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>39.0</td>\n",
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       "      <td>35.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>115.0</td>\n",
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       "      <td>wild type</td>\n",
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       "           11_16744616  11_16748108  11_16752815  11_16752839  11_16752876  \\\n",
       "genotype                                                                     \n",
       "ADAR1-/-          17.0         38.0         28.0         49.0         16.0   \n",
       "wild type         25.0         45.0         31.0         39.0         22.0   \n",
       "\n",
       "           11_16755004  12_132769626  12_64421327  12_64439300  12_98597857  \\\n",
       "genotype                                                                      \n",
       "ADAR1-/-          30.0        1166.0         48.0         20.0         51.0   \n",
       "wild type         16.0        1200.0         42.0         29.0         37.0   \n",
       "\n",
       "           ...  X_48576328  X_48576551  X_48576569  X_48577089  X_48577487  \\\n",
       "genotype   ...                                                               \n",
       "ADAR1-/-   ...        20.0        47.0        86.0        43.0        33.0   \n",
       "wild type  ...        35.0        12.0        79.0        54.0        37.0   \n",
       "\n",
       "           X_48577626  X_48577946  X_48578090   region   genotype  \n",
       "genotype                                                           \n",
       "ADAR1-/-         37.0        21.0       170.0  several   ADAR1-/-  \n",
       "wild type        23.0        16.0       115.0  several  wild type  \n",
       "\n",
       "[2 rows x 238 columns]"
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     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3ad3a665-2c25-4521-abd6-a84e47e5d363",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.04406</td>\n",
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       "      <td>0.019568</td>\n",
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       "      <td>0.025404</td>\n",
       "      <td>0.031881</td>\n",
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      "text/plain": [
       "        11_16755004  12_98599984  15_44561843  19_41860835  19_41860843  \\\n",
       "pvalue     0.024408     0.004265     0.037467     0.037716     0.048953   \n",
       "\n",
       "        19_41861150  19_41869033  19_41869717  19_55386571  19_55386578  ...  \\\n",
       "pvalue     0.030356     0.008368     0.041716      0.04406     0.030622  ...   \n",
       "\n",
       "        5_172952431  7_44799741  7_44799807  7_44801292  7_44801505  \\\n",
       "pvalue     0.019568    0.013371    0.006147    0.025404    0.031881   \n",
       "\n",
       "        X_48576328  X_48576551  X_48577089   region               genotype  \n",
       "pvalue    0.030934    0.000043    0.037573  several  ADAR1-/-_vs_wild type  \n",
       "\n",
       "[1 rows x 26 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chi = a2i.stats.chi2_test(a,g,only_pvalue=True,pvalue_filter_limit=.05)\n",
    "chi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1a430b92-0351-457f-bb36-c479e23c255e",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.boxplot(df, log_scale=False, pvalue_list=chi.values[0].tolist()[:-2], positions_to_plot=chi.columns.tolist()[:-2])\n",
    "ax.set_title('Chi square test')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2A_chi2.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "9acdcd73-c02c-4488-be1f-620664778c09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>11_16744616</th>\n",
       "      <th>11_16748108</th>\n",
       "      <th>11_16752815</th>\n",
       "      <th>11_16752839</th>\n",
       "      <th>11_16752876</th>\n",
       "      <th>11_16755004</th>\n",
       "      <th>12_132769626</th>\n",
       "      <th>12_64421327</th>\n",
       "      <th>12_64439300</th>\n",
       "      <th>12_98597857</th>\n",
       "      <th>...</th>\n",
       "      <th>X_48576328</th>\n",
       "      <th>X_48576551</th>\n",
       "      <th>X_48576569</th>\n",
       "      <th>X_48577089</th>\n",
       "      <th>X_48577487</th>\n",
       "      <th>X_48577626</th>\n",
       "      <th>X_48577946</th>\n",
       "      <th>X_48578090</th>\n",
       "      <th>region</th>\n",
       "      <th>genotype</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>pvalue</th>\n",
       "      <td>0.444844</td>\n",
       "      <td>0.742769</td>\n",
       "      <td>0.896941</td>\n",
       "      <td>0.199999</td>\n",
       "      <td>0.519128</td>\n",
       "      <td>0.018106</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.670001</td>\n",
       "      <td>0.152222</td>\n",
       "      <td>0.337001</td>\n",
       "      <td>...</td>\n",
       "      <td>0.029863</td>\n",
       "      <td>0.000035</td>\n",
       "      <td>0.814907</td>\n",
       "      <td>0.031661</td>\n",
       "      <td>0.050668</td>\n",
       "      <td>0.085161</td>\n",
       "      <td>0.742406</td>\n",
       "      <td>0.083754</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-_vs_wild type</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        11_16744616  11_16748108  11_16752815  11_16752839  11_16752876  \\\n",
       "pvalue     0.444844     0.742769     0.896941     0.199999     0.519128   \n",
       "\n",
       "        11_16755004  12_132769626  12_64421327  12_64439300  12_98597857  ...  \\\n",
       "pvalue     0.018106           1.0     0.670001     0.152222     0.337001  ...   \n",
       "\n",
       "        X_48576328  X_48576551  X_48576569  X_48577089  X_48577487  \\\n",
       "pvalue    0.029863    0.000035    0.814907    0.031661    0.050668   \n",
       "\n",
       "        X_48577626  X_48577946  X_48578090   region               genotype  \n",
       "pvalue    0.085161    0.742406    0.083754  several  ADAR1-/-_vs_wild type  \n",
       "\n",
       "[1 rows x 238 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fis = a2i.stats.fisher_test(a,g,only_pvalue=True,pvalue_filter_limit=1)\n",
    "fis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "f3af4702-1dcb-4460-8c66-537f1d89e636",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>11_16744616</th>\n",
       "      <th>11_16748108</th>\n",
       "      <th>11_16752815</th>\n",
       "      <th>11_16752839</th>\n",
       "      <th>11_16752876</th>\n",
       "      <th>11_16755004</th>\n",
       "      <th>12_132769626</th>\n",
       "      <th>12_64421327</th>\n",
       "      <th>12_64439300</th>\n",
       "      <th>12_98597857</th>\n",
       "      <th>...</th>\n",
       "      <th>X_48576328</th>\n",
       "      <th>X_48576551</th>\n",
       "      <th>X_48576569</th>\n",
       "      <th>X_48577089</th>\n",
       "      <th>X_48577487</th>\n",
       "      <th>X_48577626</th>\n",
       "      <th>X_48577946</th>\n",
       "      <th>X_48578090</th>\n",
       "      <th>region</th>\n",
       "      <th>genotype</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>odds_ratio</th>\n",
       "      <td>1.278264</td>\n",
       "      <td>1.080535</td>\n",
       "      <td>1.044661</td>\n",
       "      <td>0.745263</td>\n",
       "      <td>1.25955</td>\n",
       "      <td>0.484766</td>\n",
       "      <td>1.029147</td>\n",
       "      <td>1.112103</td>\n",
       "      <td>1.543688</td>\n",
       "      <td>0.800981</td>\n",
       "      <td>...</td>\n",
       "      <td>1.878152</td>\n",
       "      <td>0.290008</td>\n",
       "      <td>1.044498</td>\n",
       "      <td>1.559334</td>\n",
       "      <td>1.630231</td>\n",
       "      <td>1.587615</td>\n",
       "      <td>0.853261</td>\n",
       "      <td>0.808962</td>\n",
       "      <td>several</td>\n",
       "      <td>ADAR1-/-_vs_wild type</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 238 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            11_16744616  11_16748108  11_16752815  11_16752839  11_16752876  \\\n",
       "odds_ratio     1.278264     1.080535     1.044661     0.745263      1.25955   \n",
       "\n",
       "            11_16755004  12_132769626  12_64421327  12_64439300  12_98597857  \\\n",
       "odds_ratio     0.484766      1.029147     1.112103     1.543688     0.800981   \n",
       "\n",
       "            ...  X_48576328  X_48576551  X_48576569  X_48577089  X_48577487  \\\n",
       "odds_ratio  ...    1.878152    0.290008    1.044498    1.559334    1.630231   \n",
       "\n",
       "            X_48577626  X_48577946  X_48578090   region               genotype  \n",
       "odds_ratio    1.587615    0.853261    0.808962  several  ADAR1-/-_vs_wild type  \n",
       "\n",
       "[1 rows x 238 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "or_ = a2i.editing.odds_r(a.loc[:,fis.columns], g.loc[:,fis.columns])\n",
    "or_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6fd45508-106a-4171-a4f0-431430e38727",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.manhattanplot(or_, fis, p_value_line=0.05, chr_order=['1', '2', '3', '5', '7', '9', '11', '12','15', '16', '17', '19', 'X'])\n",
    "ax.set_title('Manhattan Plot')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2C_manhattanplot.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0ea9ed6-ed2f-4733-a274-b664f42fbc57",
   "metadata": {},
   "source": [
    "### Entropy calcluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "e547630b-9b49-4239-989e-07a8275e4737",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>11_16744616</th>\n",
       "      <th>11_16748108</th>\n",
       "      <th>11_16752815</th>\n",
       "      <th>11_16752839</th>\n",
       "      <th>11_16752876</th>\n",
       "      <th>11_16755004</th>\n",
       "      <th>12_132769626</th>\n",
       "      <th>12_64421327</th>\n",
       "      <th>12_64439300</th>\n",
       "      <th>12_98597857</th>\n",
       "      <th>...</th>\n",
       "      <th>X_48575266</th>\n",
       "      <th>X_48575279</th>\n",
       "      <th>X_48576328</th>\n",
       "      <th>X_48576551</th>\n",
       "      <th>X_48576569</th>\n",
       "      <th>X_48577089</th>\n",
       "      <th>X_48577487</th>\n",
       "      <th>X_48577626</th>\n",
       "      <th>X_48577946</th>\n",
       "      <th>X_48578090</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ADAR1-/-</th>\n",
       "      <td>0.006463</td>\n",
       "      <td>0.011661</td>\n",
       "      <td>0.008168</td>\n",
       "      <td>0.013041</td>\n",
       "      <td>0.005635</td>\n",
       "      <td>0.009746</td>\n",
       "      <td>0.012618</td>\n",
       "      <td>0.048648</td>\n",
       "      <td>0.027498</td>\n",
       "      <td>0.008172</td>\n",
       "      <td>...</td>\n",
       "      <td>0.002930</td>\n",
       "      <td>0.009293</td>\n",
       "      <td>0.005380</td>\n",
       "      <td>0.010476</td>\n",
       "      <td>0.016246</td>\n",
       "      <td>0.009730</td>\n",
       "      <td>0.009970</td>\n",
       "      <td>0.019133</td>\n",
       "      <td>0.006441</td>\n",
       "      <td>0.035329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>wild type</th>\n",
       "      <td>0.008010</td>\n",
       "      <td>0.012467</td>\n",
       "      <td>0.008485</td>\n",
       "      <td>0.010113</td>\n",
       "      <td>0.006899</td>\n",
       "      <td>0.005174</td>\n",
       "      <td>0.012309</td>\n",
       "      <td>0.053061</td>\n",
       "      <td>0.039512</td>\n",
       "      <td>0.006731</td>\n",
       "      <td>...</td>\n",
       "      <td>0.004042</td>\n",
       "      <td>0.009190</td>\n",
       "      <td>0.009337</td>\n",
       "      <td>0.003537</td>\n",
       "      <td>0.016863</td>\n",
       "      <td>0.014284</td>\n",
       "      <td>0.015202</td>\n",
       "      <td>0.028294</td>\n",
       "      <td>0.005603</td>\n",
       "      <td>0.029594</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 236 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           11_16744616  11_16748108  11_16752815  11_16752839  11_16752876  \\\n",
       "ADAR1-/-      0.006463     0.011661     0.008168     0.013041     0.005635   \n",
       "wild type     0.008010     0.012467     0.008485     0.010113     0.006899   \n",
       "\n",
       "           11_16755004  12_132769626  12_64421327  12_64439300  12_98597857  \\\n",
       "ADAR1-/-      0.009746      0.012618     0.048648     0.027498     0.008172   \n",
       "wild type     0.005174      0.012309     0.053061     0.039512     0.006731   \n",
       "\n",
       "           ...  X_48575266  X_48575279  X_48576328  X_48576551  X_48576569  \\\n",
       "ADAR1-/-   ...    0.002930    0.009293    0.005380    0.010476    0.016246   \n",
       "wild type  ...    0.004042    0.009190    0.009337    0.003537    0.016863   \n",
       "\n",
       "           X_48577089  X_48577487  X_48577626  X_48577946  X_48578090  \n",
       "ADAR1-/-     0.009730    0.009970    0.019133    0.006441    0.035329  \n",
       "wild type    0.014284    0.015202    0.028294    0.005603    0.029594  \n",
       "\n",
       "[2 rows x 236 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entr = a2i.stats.entropy_calculation(a,g)\n",
    "entr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "5a5c835f-8535-4a74-acdd-367d5d65a43b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # This is just to correct the order of the coordinates\n",
    "# aux = pd.DataFrame([i.split('_') for i in entr.columns])\n",
    "# aux_n = aux[aux[0]!='X']\n",
    "# aux_x = aux[aux[0]=='X']\n",
    "\n",
    "# aux_n.loc[:,0] = aux_n[0].astype(int)\n",
    "# aux_n.loc[:,1] = aux_n[1].astype(int)\n",
    "# aux_n = aux_n.sort_values([0,1])\n",
    "# aux_n.loc[:,0] = aux_n[0].astype(str)\n",
    "# aux_n.loc[:,1] = aux_n[1].astype(str)\n",
    "\n",
    "# aux_x.loc[:,1] = aux_x[1].astype(int)\n",
    "# aux_x = aux_x.sort_values(1)\n",
    "# aux_x.loc[:,1] = aux_x[1].astype(str)\n",
    "\n",
    "# aux = pd.concat([aux_n, aux_x])\n",
    "# aux[2] = aux[0] + '_' + aux[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3b86a1be-4156-419b-bdd7-ae77c65c90c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.entropy_plot(entr, n_top=30)\n",
    "ax.set_title('Entropy Plot')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2D_entropy.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94827d30-72ef-4a87-9f39-a7eb7628becd",
   "metadata": {},
   "source": [
    "### Pearson correlation tests"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "bfedc33a-bc83-48ad-8cc0-fb9b5e00caa5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Positions</th>\n",
       "      <th>R</th>\n",
       "      <th>pvalue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11_16755004</td>\n",
       "      <td>-0.177720</td>\n",
       "      <td>0.736226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12_98599984</td>\n",
       "      <td>0.329284</td>\n",
       "      <td>0.523926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15_44561843</td>\n",
       "      <td>0.400999</td>\n",
       "      <td>0.430741</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19_41860835</td>\n",
       "      <td>-0.447937</td>\n",
       "      <td>0.373033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19_41860843</td>\n",
       "      <td>-0.107692</td>\n",
       "      <td>0.839086</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19_41861150</td>\n",
       "      <td>-0.244182</td>\n",
       "      <td>0.641007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19_41869033</td>\n",
       "      <td>0.335755</td>\n",
       "      <td>0.515292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19_41869717</td>\n",
       "      <td>0.377648</td>\n",
       "      <td>0.460457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19_55386571</td>\n",
       "      <td>0.278501</td>\n",
       "      <td>0.593050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19_55386578</td>\n",
       "      <td>-0.335177</td>\n",
       "      <td>0.516061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19_55386665</td>\n",
       "      <td>0.027273</td>\n",
       "      <td>0.959100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19_55388002</td>\n",
       "      <td>-0.862041</td>\n",
       "      <td>0.027236</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19_55388245</td>\n",
       "      <td>0.214028</td>\n",
       "      <td>0.683860</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19_55388283</td>\n",
       "      <td>-0.035748</td>\n",
       "      <td>0.946400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19_55388304</td>\n",
       "      <td>0.469988</td>\n",
       "      <td>0.346926</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5_172924006</td>\n",
       "      <td>0.524550</td>\n",
       "      <td>0.285341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5_172952431</td>\n",
       "      <td>-0.027900</td>\n",
       "      <td>0.958161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>7_44799741</td>\n",
       "      <td>-0.168602</td>\n",
       "      <td>0.749494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7_44799807</td>\n",
       "      <td>-0.468547</td>\n",
       "      <td>0.348611</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>7_44801292</td>\n",
       "      <td>-0.054489</td>\n",
       "      <td>0.918348</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7_44801505</td>\n",
       "      <td>0.339847</td>\n",
       "      <td>0.509855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>X_48576328</td>\n",
       "      <td>-0.298169</td>\n",
       "      <td>0.566001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>X_48576551</td>\n",
       "      <td>0.812046</td>\n",
       "      <td>0.049670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>X_48577089</td>\n",
       "      <td>0.187324</td>\n",
       "      <td>0.722300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Positions         R    pvalue\n",
       "0   11_16755004 -0.177720  0.736226\n",
       "1   12_98599984  0.329284  0.523926\n",
       "2   15_44561843  0.400999  0.430741\n",
       "3   19_41860835 -0.447937  0.373033\n",
       "4   19_41860843 -0.107692  0.839086\n",
       "5   19_41861150 -0.244182  0.641007\n",
       "6   19_41869033  0.335755  0.515292\n",
       "7   19_41869717  0.377648  0.460457\n",
       "8   19_55386571  0.278501  0.593050\n",
       "9   19_55386578 -0.335177  0.516061\n",
       "10  19_55386665  0.027273  0.959100\n",
       "11  19_55388002 -0.862041  0.027236\n",
       "12  19_55388245  0.214028  0.683860\n",
       "13  19_55388283 -0.035748  0.946400\n",
       "14  19_55388304  0.469988  0.346926\n",
       "15  5_172924006  0.524550  0.285341\n",
       "16  5_172952431 -0.027900  0.958161\n",
       "17   7_44799741 -0.168602  0.749494\n",
       "18   7_44799807 -0.468547  0.348611\n",
       "19   7_44801292 -0.054489  0.918348\n",
       "20   7_44801505  0.339847  0.509855\n",
       "21   X_48576328 -0.298169  0.566001\n",
       "22   X_48576551  0.812046  0.049670\n",
       "23   X_48577089  0.187324  0.722300"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pearson = a2i.stats.conditon_pearson_corr(df[chi.columns].fillna(0), return_only_significant=False ,pvalue_filter_limit=0.05)\n",
    "pearson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "35ec8649-f1e2-4ac8-88a5-2bddf44dfb15",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.corr_pearson_plot(pearson, log_scale=True, p_value_line=0.05)\n",
    "ax.set_title('Pearson correlation of editing sites\\nbetween conditions')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2E_corr.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "4c935830-040c-43c2-ad65-8a9d46171836",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = '/mnt/e/editing_methods/PRJNA605715_GSE145011/trimmed_salmon_quant/'\n",
    "tpm_aux = []\n",
    "for srr in os.listdir(path):\n",
    "    tpm_aux.append(pd.read_csv(path+srr+'/quant.sf', sep='\\t')[['Name','TPM']])\n",
    "    tpm_aux[-1]['Run'] = srr\n",
    "tpm = pd.concat(tpm_aux)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ca73b11d-7fb9-4977-8b25-b6880a6c6348",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 3.252617,  4.299662,  4.713678,  0.      ,  0.      ,  0.      ,\n",
       "       39.336771, 41.647236, 25.591093, 16.625418, 20.444033, 20.640526])"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exprs = tpm[tpm.Name.str.contains('ENST00000368474')]\n",
    "exprs.TPM.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d06a87ff-de1b-4b71-9b40-73440b5d5f83",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Positions</th>\n",
       "      <th>R</th>\n",
       "      <th>pvalue</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>11_16755004</td>\n",
       "      <td>-0.691477</td>\n",
       "      <td>0.012744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12_98599984</td>\n",
       "      <td>0.028309</td>\n",
       "      <td>0.930407</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>15_44561843</td>\n",
       "      <td>-0.707110</td>\n",
       "      <td>0.010119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19_41860835</td>\n",
       "      <td>-0.035925</td>\n",
       "      <td>0.911742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19_41860843</td>\n",
       "      <td>-0.654160</td>\n",
       "      <td>0.021012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19_41861150</td>\n",
       "      <td>-0.067442</td>\n",
       "      <td>0.835032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19_41869033</td>\n",
       "      <td>0.129127</td>\n",
       "      <td>0.689186</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19_41869717</td>\n",
       "      <td>-0.698366</td>\n",
       "      <td>0.011532</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19_55386571</td>\n",
       "      <td>-0.553267</td>\n",
       "      <td>0.062043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19_55386578</td>\n",
       "      <td>0.162087</td>\n",
       "      <td>0.614760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19_55386665</td>\n",
       "      <td>0.005451</td>\n",
       "      <td>0.986586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19_55388002</td>\n",
       "      <td>-0.057689</td>\n",
       "      <td>0.858659</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19_55388245</td>\n",
       "      <td>0.073916</td>\n",
       "      <td>0.819415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19_55388283</td>\n",
       "      <td>-0.069710</td>\n",
       "      <td>0.829556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19_55388304</td>\n",
       "      <td>0.171629</td>\n",
       "      <td>0.593787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5_172924006</td>\n",
       "      <td>-0.760624</td>\n",
       "      <td>0.004074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5_172952431</td>\n",
       "      <td>-0.087673</td>\n",
       "      <td>0.786439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>7_44799741</td>\n",
       "      <td>-0.243549</td>\n",
       "      <td>0.445584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>7_44799807</td>\n",
       "      <td>-0.217543</td>\n",
       "      <td>0.497015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>7_44801292</td>\n",
       "      <td>-0.016010</td>\n",
       "      <td>0.960615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>7_44801505</td>\n",
       "      <td>-0.284188</td>\n",
       "      <td>0.370674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>X_48576328</td>\n",
       "      <td>0.021110</td>\n",
       "      <td>0.948080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>X_48576551</td>\n",
       "      <td>-0.659710</td>\n",
       "      <td>0.019586</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>X_48577089</td>\n",
       "      <td>0.357053</td>\n",
       "      <td>0.254553</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      Positions         R    pvalue\n",
       "0   11_16755004 -0.691477  0.012744\n",
       "1   12_98599984  0.028309  0.930407\n",
       "2   15_44561843 -0.707110  0.010119\n",
       "3   19_41860835 -0.035925  0.911742\n",
       "4   19_41860843 -0.654160  0.021012\n",
       "5   19_41861150 -0.067442  0.835032\n",
       "6   19_41869033  0.129127  0.689186\n",
       "7   19_41869717 -0.698366  0.011532\n",
       "8   19_55386571 -0.553267  0.062043\n",
       "9   19_55386578  0.162087  0.614760\n",
       "10  19_55386665  0.005451  0.986586\n",
       "11  19_55388002 -0.057689  0.858659\n",
       "12  19_55388245  0.073916  0.819415\n",
       "13  19_55388283 -0.069710  0.829556\n",
       "14  19_55388304  0.171629  0.593787\n",
       "15  5_172924006 -0.760624  0.004074\n",
       "16  5_172952431 -0.087673  0.786439\n",
       "17   7_44799741 -0.243549  0.445584\n",
       "18   7_44799807 -0.217543  0.497015\n",
       "19   7_44801292 -0.016010  0.960615\n",
       "20   7_44801505 -0.284188  0.370674\n",
       "21   X_48576328  0.021110  0.948080\n",
       "22   X_48576551 -0.659710  0.019586\n",
       "23   X_48577089  0.357053  0.254553"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "g_pearson = a2i.stats.gene_pearson_corr(df[chi.columns].fillna(0), exprs.TPM.values,return_only_significant=False)\n",
    "g_pearson"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "402416cf-2a73-4373-b5c8-e346d9052b94",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = a2i.plot.corr_pearson_plot(g_pearson, log_scale=True, p_value_line=0.05)\n",
    "ax.set_title('Pearson correlation between\\nADAR expression and editing frequencies')\n",
    "plt.savefig('/mnt/d/GoTx_Folder/draft/FIG2F_adar_corr.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d09b6b52-ffa8-4cc1-8851-361b636014e6",
   "metadata": {},
   "source": [
    "# Fig_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "eedcccef-a1d9-4b54-aead-d21da0c10279",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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aaklOmz6Ja9q0aV7nAAAAAADkoStXrmjq1Knav3+/zpw5oytXrqhcuXKqVatW2graAAAAAJAXhgwZcsv5pKQkjRs3TqtXr9aSJUsKKBUAAABKLFZekyR99tlncnBw0OzZs9WoUaN0c4GBgQoMDFSHDh3Up08fzZkzp2g1r82fPz+vcwAAAABAiTJy5Mhs1xqGoXHjxuXo+JcuXdI333yjO++8U+3bt5enp6eio6O1bt06bd68WS+//LKeffbZnMYGAAAAgBxzdHTUa6+9pk2bNmnSpEmaNGmS1ZEAAACAYu/AgQNq2rRphsa1mzVs2FAhISHav39/ASZLj3sgAAAAAIAFli1bdtsawzBkmqZNzWv+/v7atWuXHBzSv+2Ljo5Wjx49NG3aND322GMqVapUjo4LAAAAALZwcHBQvXr1tG3bNqujAAAAACVCXFycvL29b1vn7e2tuLi4AkiUuTxpXjt58qQuXbqkMmXKqFq1anlxSAAAAAAo1ubNm5fpeGpqqv766y9t2bJFq1at0hNPPKF77rknx8e3t7fPdLxChQpq2LCh1q5dq3Pnzql69eo5PjYAAAAA2OL8+fOWfikGAACAksHktqGSJB8fH+3du1cpKSlZfmeQnJysvXv3ysfHp4DT/Y/NzWvx8fGaNm2alixZoitXrkiSunfvrvHjx0uSvvnmG33xxRcaN26cgoKC8iYtAAAAABQTISEht5zv3r27WrVqpddee01t27bNs/P+888/2r9/v9zd3eXn55dnxwUAAACArKSmpmrBggXat2+fgoODrY4DAAAAlAht27bVZ599plGjRum1116Tu7t7uvmYmBi9/fbbioqK0pNPPmlRShub12JjY9WvXz/99ttvKlu2rFq3bq2NGzemq2natKlee+01rVy5kuY1AAAAALDBAw88oM8++0zTpk3LcqW227lw4YK+/PJLpaam6vz581q/fr2uXr2q8ePHy9nZOY8TAwAAACiJ+vXrl+VcbGyszpw5o8uXL8vOzk6DBg0qwGQAAAAocYz/+7Flv2Lmueee09q1a7V8+XKtW7dOrVq1kr+/vyTpzJkz2rRpk2JiYhQQEKDnnnvOspw2Na/NmjVLBw8eVO/evTVq1Cg5OTkpMDAwXU3lypVVvXp1/fzzz3r55ZfzJCwAAAAAlDRVqlTRli1bbN7/woULmj59etq2m5ubJkyYoK5du+Yql2maio2NzdUxAKCwiI+Pt3nf2NhYpaam5mGarBWVnEBJUth+L2/OU1C/96ZpyjCK4bc8yJGdO3fect7BwUGNGzfWoEGDFBoaWkCpAAAAgJKtTJkyWrBggd544w1t3LhRP/zwQ4aaNm3aaMyYMfL09LQg4XU2Na+tXLlSfn5+euONN7K8J6ok+fr66vDhwzaHAwAAAICSLDU1VUeOHJGdnZ3Nx6hdu7aOHDmi5ORkRUZGavHixRo2bJh+++03DR8+3ObjJiUl6dChQzbvDwCFSWJios37HjlyRE5OTnmYJmtFJSdQkhS238ub8xTk7z2vL1i/fn2Wc46OjvLy8pKjo2MBJgIAAECJxvU1aSpWrKiZM2fqzz//VHh4uKKjoyVJFSpUUOPGjRUQEGBxQhub16KiotSmTZtbNq5Jkru7uy5fvmxTMAAAAAAoqeLi4nTy5El9/PHHOnXqlNq0aZPrYzo4OKhy5cp6+eWXFRsbqzlz5qhVq1Y2r3rg6OiomjVr5joXABQGN69UZKYmp5szTVOS0q0qdHNNnTp15OLiks8Jr8vNCk8FmRMoSQrb7+XNeQrq9/7333/P93Og8PPz87M6AgAAAIBbCAgIKBSNapmxqXnN1dVVly5dum3dmTNnVKZMGVtOAQAAAADFWlBQ0G1rTNOUt7e3Xn311Tw991133aUvvvhCu3btsrl5zTAMubm55WkuALDKzStcXju2PEf7urm5FVhTWG5W4izInEBJUth+L2/OU1C/99wyFAAAAACQGzY1r9WvX1/h4eGKioqSj49PpjXHjh3ToUOH1K5du1wFBAAAAIDiKKv3UtL1Vc0qVKigpk2b6rHHHlPZsmXz9Nznzp2TpNuupg0AAAAAmYmMjMzV/r6+vnmUBAAAAMjILKHX2CxfvlySdO+998rd3T1tO7u6d++e55myw6bmtccee0zbtm3T4MGDNXnyZFWpUiXd/NmzZzV8+HClpqbqsccey5OgAAAAAFCcbNiwIV+Pf+jQIQUEBMjd3T3deFRUlGbNmiVJatmyZb5mAICiwtnZWYsXL07bNk1TCQkJio+PV//+/SVJs2bNkouLi5ydndOtMuTs7FzgeQEUTv++7bCtNUBR0LZtW5tX3TMMQxEREXmcCAAAAMCIESNkGIYaNGggd3f3tO3bMU1ThmEUrea1tm3b6oknntDnn3+uTp06qUaNGjIMQ9u2bVPPnj119OhRJScnq3///mrWrFleZwYAAAAA3MbSpUu1ZMkSNWvWTP7+/nJ0dNSZM2e0ceNGJSYm6plnnlFwcLDVMQGgUDAMI+3WeqZpavjw4Tp06FC6mhtNbEFBQZo4cSK3yQOQQU5vO5yXbm66veHG43833QJ5oWnTplZHAAAAALJWQt8CDRo0SIZhyMvLK912YWdT85p0vVsvODhYH3/8sY4cOSJJio6OVnR0tKpVq6bnn39e3bp1y7OgAAAAAIDs69ixo2JiYrR3717t3LlTCQkJ8vLyUsuWLfXQQw+pdevWVkcEAABAHsiq6bZv376SaLpF/pg/f77VEQAAAAD8y5AhQ265XVjZ3LwmSV26dFGXLl108eJFnT17VqmpqapUqZIqVqyYV/kAAAAAoFiaPn26zfsahqFBgwbdsqZJkyZq0qSJzecAgJLKMAxNnDhRCQkJkq43hdwYl1jBCEDWStXqLsPu1h+5m6nJlq7QBgAAAABAYZOr5rUbvL295e3tnReHAgAAAIASYfr06RmaH/7dIHHz2M2y07wGALDdzbcRBYDsMuwcbtu8li/npekWAAAAAJCJoKAg9ejRQ+PGjbtl3ahRo7R06VJFREQUULL0Cv6dNAAAAABA48eP1969e7Vo0SL5+vqqY8eO8vHxkSRFRUVp9erVioyMVO/evdWwYUOL0wIAAKAwo+kWhcmxY8d06tQpxcTEZFnTvXv3ggsEAAAAlFCmaWZ6gXxWtVaxqXmtX79+2a41DENz58615TQAAAAAUGxVq1ZNr7/+ugYOHKhBgwbJ3t4+3fywYcM0Y8YMffLJJ+rRowcNbAAAAAAKtZ9//lljxozR6dOns6wxTVOGYdC8BgDI1OkjkVo89Ucd23dKPlXLq+fADrqjRW2rYwEogkwWn86Rq1evysnJybLz29S8tnPnztvWGIaR9iYEAAAAAJDe1KlTVa1aNb3wwguZztvb22vIkCFau3atpk2bpjlz5hRwQgAAAADIngMHDujZZ5+VYRjq2rWrjh49qqNHj+rZZ5/V6dOn9fPPP+vKlSvq2bOnfH19rY4LACiETkac1Uudxiv2anza9o4ff9WoeQN1131c1AkA2RUZGZluOzY2NsPYDSkpKTp+/Li2bdumypUrF0S8TNnUvLZ+/fpMx1NTU/XXX39p69atmjdvnh599FE9+uijuQoIAAAAAMXR/v371bp169vW1apVS5s2bSqARAAAAABgm08++UQpKSn69NNP1aJFC40cOVJHjx7V0KFDJUlXrlzR66+/ro0bN+qbb76xOC0AoDD6evIPaY1rN6Smmpo7dhnNawByrgSvs9W2bdt0C42tWbNGa9asueU+pmmqV69e+R0tSzY1r/n5+WU5FxAQoKZNm6pZs2bq37+/7rzzzlvWAwAAAEBJdeLEiTypAQAAAAAr7d27V0FBQWrRokWm86VLl9Y777yjtm3b6oMPPtDEiRMLOCEAoLA7sifzz8BOHY5U/LUEuZRyLuBEAFA0NW3aNO3xrl27VLZsWVWrVi3TWicnJ1WoUEFt27ZV+/btCypiBjY1r2XHXXfdpXr16umTTz6x9AkCAAAAQGHUuHFjbd68WZ9++qmeeeaZTGtmz56tiIiIbK3QBgAAAABW+eeff9J9Sebo6Cjp+i2K3NzcJF3/Yqxx48batm2bJRkBAIVbBf+yijpxPsO4ZzkPObk6WpAIQJFWgldemz9/ftrjwMBAtWzZUuPHj7cw0e3lW/OaJFWqVElbtmzJz1MAAAAAQJE0dOhQ7dy5U5MmTdLSpUvVsWNH+fr6SpIiIyO1Zs0aHT9+XK6urmm32gEAAACAwsjb21sxMTFp215eXpKkP//8U3Xq1EkbT0hISFcHAMAN3Qfcq1+3HM4w/sBz7WRnZ2dBIgAo+tavX592MUlhlm/Na/Hx8Tp48KCcnJzy6xQAAAAAUGQFBgbq888/14gRI3T8+HF99NFHMozrl4OZpilJqlq1qiZMmKDAwEArowIAAADALVWpUkWnT59O2w4ODpZpmlq4cKFef/11SdKpU6e0fft2BQQEWBUTAFCIhXa5Uy99+KS+mPCdov+8IA+vUnrguXZ6+KUuVkcDgCLLz8/P6gjZYlPzWmRkZJZzsbGxOnnypObMmaOoqCjdd999NocDAAAAgOKsQYMGWrlypXbs2KHw8HBFR0fLNE1VqFBBjRs3VvPmzdMa2gAAAACgsGrVqpUmTZqko0ePqnbt2mrZsqV8fX311Vdf6cCBA6pUqZK2b9+uhIQEPfjgg1bHBQAUUh0ebaF7Hw7VlQsxci/jJgfHfL2RHIBizORj9XTi4uK0Y8cOnTx5UteuXUu7gP5mhmFo0KBBFqSzsXmtbdu2t/0CxTRNVatWTa+++qpNwb799luFh4fr4MGDOnr0qJKSkvThhx/q3nvvzdFxjh07pvfff1+7d+9WYmKiatasqaeeekpdumTeoR0VFaXJkydr69atunbtmqpUqaKHH35Yjz76KF8aAQAAAMhzhmGoefPmat68udVRAAAAAMAm3bt3l4eHR9r3KE5OTvroo4/0n//8RwcOHNCBAwdkZ2enXr166fHHH7c4LQCgMLOzs1OZ8qWtjgEAxcbSpUs1fvx4xcTEpI2ZppmuB+rGdpFqXmvatGmWc05OTipfvryaNm2qrl27ytnZ2aZgU6ZM0dmzZ+Xt7a1y5copKioqx8c4dOiQHn30UaWkpOi+++5TmTJltHbtWg0dOlTR0dF64okn0tVHRUWpV69eunDhgjp27Cg/Pz9t3bpVb775pk6ePKnXXnvNpucCAAAAALeTmJiof/75R05OTipTpozVcQAAAAAg28qXL6+HH3443VidOnW0atUq/fHHH7py5YqqVKkib29vixICAACgxDD+78eW/YqZn3/+Wa+99po8PDz03HPPaceOHdq3b5/efPNNnT59WmvXrtWpU6fUp08f1atXz7KcNjWvzZ8/P69zZDB27FhVrVpVvr6+mjZtmqZPn57jY4wePVpxcXGaM2eO7rrrLknSoEGD1Lt3b02ePFmdOnVSpUqV0urfffddnT9/Xm+//bbCwsIkSf/5z3/09NNPa968eerWrZvuuOOOvHmCAAAAACDpyy+/1MKFC3Xs2DGZpqnu3btr/PjxkqSVK1dq5cqVGjZsmKpWrWptUAAAAACwQY0aNayOAAAAAOS7vLjDZNu2bXX27NlM5wYMGKChQ4fmKNOcOXNkGIbmzZunwMBAjRw5Uvv27VPv3r0lSUOHDtU777yjRYsWpY1Zwc6yM9/GXXfdJV9fX5v3//3337Vv3z6FhoamNa5Jkru7u5577jklJCTou+++Sxu/evWq1qxZo6pVq6Y1rkmSo6OjXnjhBUnS4sWLbc4DAAAAADdLTk7WgAED9NZbb+nEiROqUaOGTNNMV1OjRg2tW7dOK1eutCglAAAAANzeK6+8oi1btig1NdXqKAAAACjhTEmmYcNPLs87ZcoULVy4UFFRUSpXrpzNx/Hw8NDgwYMz/DRv3jzHxzpw4IAaNGigwMDATOft7e01fPhweXt7a9q0aTZnzi2bVl4rCnbt2iVJ6RrXbmjRokVazbPPPitJ2rt3r5KSkhQaGpqhvmHDhnJzc9Pu3bvzMTEAAACAkmTevHnauHGj7rnnHo0dO1Zly5bN8AayTp068vf31+bNmzVw4ECLkgIAAADAra1YsULff/+9vLy81KVLF91///1q0KCB1bEAAACAApMXd5iUpNKlS2vIkCF5kik2NjbdwmFOTk6SpJiYGLm7u0uS7Ozs1KBBA/3yyy95ck5b2NS8NnLkSJtPaBiGxo0bZ/P+2XX69GlJUpUqVTLMlStXTm5ubmk1t6u3t7eXv7+/Tpw4katMpmkqNjY2V8cojuLj43O8T2xsLFdwAYBFbn7d5vUYsI1pmjIMw+oYsNjy5ctVvnx5vf/++3JxccmyLiAgQH/88UcBJgMAAACAnJk8ebK+//57bdmyRV988YUWLFggf39/devWTffdd5+qV69udUQAAAAgX2W2uJbVypcvr0uXLqXblqSTJ0+qfv36aeOXL1+2qXcnr9jUvLZs2TJJSvvC7d+3tslq/MZcQTSvxcTESFJap+C/ubu76+rVq9muL1WqlJKSkhQfH3/LL5ZuJSkpSYcOHbJp3+IsMTExx/scOXIkrSMUAFCwbn7d5vUYsB2/Ozh16pRatmx52/cXXl5e6d5cAgAAAEBh06VLF3Xp0kVXr17Vjz/+qBUrVmj37t368MMPNWPGDNWrV0/333+/unTpkvaFGQAAAJBvivD6AYmJiVq2bJnOnTsnT09PNW7cWLVr17bpWNWqVUu3UFfDhg1lmqZmzZqlDz74QIZhaM+ePdq+fbvq1KmTV08hx2xqXps3b55WrVqlr776Sg0bNtR9990nHx8fSVJUVJS+//577du3T4888og6d+6cp4Gz60bjXHZXtMis0S6vOTo6qmbNmvl+nqLGlu7NOnXq2NxECADInZtft3k9Bmzz+++/Wx0BhYCTk1O2VmaOjIyUh4dHASQCAAAAgNzx8PBQr1691KtXL0VHR+uHH37QihUrdPDgQR08eFDvvPOOmjVrpjlz5lgdFQAAACiUzp8/rxEjRqQba9u2rSZOnKjSpUvn6Fht2rTRtm3btG/fPt15550KDQ1VnTp1tGbNGrVs2VIVKlTQ0aNHlZqaqscffzwvn0aO2NS8FhcXp4ULF2rs2LEKCwvLMN+nTx998803+u9//6vWrVurTZs2uc2ZYze+3Ll5dbWbxcTEqEKFChnqb6zA9m/Xrl2To6Njrr6gNwxDbm5uNu9fXNnZ2eV4Hzc3N5olAMAiN79u83oM2IZbhkKSateurQMHDujSpUvy8vLKtCYyMlIRERFq3rx5AacDAAAAgNypUKGCnnzyST355JM6efKk5syZo0WLFumXX36xOhoAAACKNVMybFnAylRkZKT69u2bZcX69ettj5UNPXv2VLNmzVSjRg05OTnpyJEjmjJlijZs2KCXX35Zs2bNytHxunfvrqpVq6atfmxnZ6dPPvlE/+///T/98ssv+vvvv+Xh4aFnnnlGDzzwQH48pWyxqXnto48+UnBwcKaNazc8+OCDWrx4sWbOnGlJ81rlypUlXb8Vz7/9/fffio2NTau5XX1KSorOnDmTrh4AAAAAciMsLEwjR47UK6+8okmTJsnT0zPd/LVr1zRq1CglJSWpV69eFqUEAAAAANvFxMRozZo1+v7777Vjxw6r4wBFVmrK30qM+VjJCVtk2JWRk9sjcnSz7gtmAACQPwYPHpxuu3Hjxvr000/Vq1cvbd68Wfv371dwcHC2j+fh4aGWLVumG6tYsaJmz56tuLg4Xb16VWXLlpW9vX2e5LeVTc1rR44cUdu2bW9b5+fnpw0bNthyilxr2rSpJOnnn39W//79081t27YtXY10/b6ujo6OmV7xs3fvXsXGxqpJkyb5mBgAAABASdKjRw9t3LhRq1evVrt27dS4cWNJ199/vPDCC9qxY4cuX76srl27qn379hanBQAAAIDsSUpK0qZNm/Tdd99p06ZNSkxMlGma8vPzU9euXdWtWzerIwJFipl6WbF/91Rqysm0sbjEn5WS/IdcSr9kXTAAAAox08Yb4Pj6+ub76mo55eTkpO7du2vChAnat29fjprXxo8fr9KlS2vQoEEZ5lxdXeXq6pqXUW1mU/Oak5OTIiIiblljmqYiIiLk5ORkU7CcOH36tJKSklS5cmU5OjpKkmrWrKk777xTv/zyi37++Wfdddddkq5f5fPxxx/L2dk53RskDw8PdejQQT/88IOWLFmStqpcUlKSpk2bJkm3XGkOAAAAAHLqgw8+0Keffqo5c+Zo06ZNkqSTJ0/q5MmT8vDw0IsvvqgBAwZYnBIAAAAAbm/79u36/vvvtWbNGl29elWmacrLy0s9e/bU/fffr0aNGlkdESiSEmMXpmtcSxu/NlPO7k/JsCtT4JkAAEDB8vLykiTFx8fnaL8FCxZka3Eyq9nUvNaiRQutWrVKY8eO1bBhw+Ti4pJuPj4+Xu+9955Onjypzp072xRs8eLFCg8PlyQdOnRIkjRv3jytW7dO0vVGshsroT3xxBM6e/as1q9fL39//7RjjB49Wo8++qgGDBig++67T2XKlNG6det0+vRpjRw5UpUqVUp3zldeeUU7d+7Uf//7X23dulX+/v7asmWLDh8+rH79+uWoexEAAAAAbscwDPXv319PPfWUIiIidPbsWaWmpqpixYq64447CuRiIAAAAADIrdatWys6OlqmacrV1VVdunTR/fffr7vvvlsODjZ9FQXg/6Qk7s18woxXStIROTg3K9hAOZCaekVXr0xWXNwKSZKr633yKP2y7Ow8LU4GAEDRcvDgQUnXV4bLiYoVK8o0zfyIlKdsesfw8ssva/v27VqwYIFWrFih1q1by8fHR4ZhKDIyUps2bdKVK1fk7e2tl16ybbna8PBwLVu2LN3Yjh070h6HhITc9jaeQUFBWrhwoT744AOtW7dOiYmJqlmzpiZPnqz77rsvQ72Pj48WLVqkyZMna+vWrbp27ZqqVKmi119/XY8++qhNzwPXmaaphISEtF8Kw7i+RqOzs7OVsQAAAADLhISEqHbt2vriiy9kb2+vO+64Q3fccYfVsQAAAAAgx86fP68WLVro/vvvV/v27eXm5mZ1JKDYsLP3z2LGkJ29T4FmyQnTNHXhwmNKSgxPG7t27VMlJoarXPkVMgw7C9MBAIo9G28bWlAyu8PkiRMn5OnpKW9v73S1O3fu1Ndffy0PDw+1bNkyR+dp3769li1bppiYGLm7u+dZ/rxmU/Oan5+fFi5cqNGjR2vbtm367rvvMtSEhoZq9OjR6VZCy4kJEyZowoQJ2ardsGFDlnO1a9fWjBkzsn1eX19fvffee9mux+2Zpqnhw4enraB3s6CgII0ZM8aCVAAAAIC1kpOTVbFiRatjAAAAII+Yqcnpt/91IW9mNUBxsXXr1gxfsgHIG06lHlNi7FzJTH+bMAeXDrJzqGxRqttLSNicrnHthqSkvUpI2CgXl8J/CzMAAHIit3eY3LRpkyZNmqTQ0FD5+/vL2dlZR48e1bZt2+Tg4KC33npLnp45W7108ODB2rFjh5599lmNGjVKdevWzaunm6dsXqs5ICBAs2fP1p9//qnw8HBFR0dLkipUqKBGjRqpcuXC+8cSAAAAAFitVq1aae+jAAAAUPRdO7bc6giAZWhcA/KPnUNVuXnPVfyVt5SadFCSsxxdH5CL52iro91SctLhLOeSkg7RvAYAyF8WrLyW2ztMNmrUSO3bt9dvv/2m3bt3KzExUWXLllXXrl319NNPKygoKMeZBg4cKCcnJ+3Zs0cPPvigypcvL19fXzk5OWWoNQxDc+fOzfE58oLNzWs3BAQEKCAgIC+yoJgyDEMTJ07U5cuX1bdvX0nS/Pnz5eLiImdnZyUkJKTVJqb87167/74y8eY5AAAAoKjr06ePhg8frt27d9/yDSsAwFo7d+7UzJkzNWDAAIWEhFgdBwCAQu3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",
      "text/plain": [
       "<Figure size 2505x1670 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8.35*3,8.35*2))\n",
    "\n",
    "ax_chi = fig.add_subplot(231)\n",
    "a2i.plot.boxplot(df, log_scale=False, pvalue_list=chi.values[0].tolist()[:-2], positions_to_plot=chi.columns.tolist()[:-2], ax=ax_chi)\n",
    "ax_chi.set_title('Chi square test')\n",
    "ax_chi.set_xlabel('Coordinates')\n",
    "\n",
    "ax_mw = fig.add_subplot(232)\n",
    "a2i.plot.boxplot(df, log_scale=True, pvalue_list=mw.values[0].tolist()[:-2], positions_to_plot=mw.columns.tolist()[:-2], ax=ax_mw)\n",
    "ax_mw.set_title('Mann-Whitney U rank test')\n",
    "ax_mw.set_xlabel('Coordinates')\n",
    "\n",
    "ax_mh = fig.add_subplot(233)\n",
    "a2i.plot.manhattanplot(or_, fis, p_value_line=0.05, chr_order=['1', '2', '3', '5', '7', '9', '11', '12','15', '16', '17', '19', 'X'], ax=ax_mh)\n",
    "ax_mh.set_title('Manhattan Plot')\n",
    "\n",
    "ax_entr = fig.add_subplot(234)\n",
    "a2i.plot.entropy_plot(entr, n_top=30, hue_order=['wild type', 'ADAR1-/-'], ax=ax_entr)\n",
    "ax_entr.set_title('Entropy Plot')\n",
    "ax_entr.set_xlabel('Coordinates')\n",
    "\n",
    "ax_ep = fig.add_subplot(235)\n",
    "a2i.plot.corr_pearson_plot(pearson, log_scale=True, p_value_line=0.05, ax=ax_ep)\n",
    "ax_ep.set_title('Pearson correlation of editing sites\\nbetween conditions')\n",
    "ax_ep.set_xlabel('Coordinates')\n",
    "\n",
    "ax_gep = fig.add_subplot(236)\n",
    "a2i.plot.corr_pearson_plot(g_pearson, log_scale=True, p_value_line=0.05, ax=ax_gep)\n",
    "ax_gep.set_title('Pearson correlation between\\nADAR expression and editing frequencies')\n",
    "ax_gep.set_xlabel('Coordinates')\n",
    "\n",
    "fig.tight_layout()\n",
    "fig.savefig('/mnt/d/GoTx_Folder/draft/FIG2.pdf', format='pdf', dpi=300,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3148715d-058f-4b5f-98d2-2c8c918bca85",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
